azerbaijan state oil and industry university ... -...

75
AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY BA PROGRAMS/ MSc SYLLABUS Course unit title ACCOUNTING AND CORPORATE FINANCE Course unit code ACCT 1101 Type of course unit Compulsory Level of course unit Second cycle / Master Year of study 1 st year Semester/trimester when the course unit is delivered 1 st semester Number of ECTS credits allocated 6 Name of lecturer Ilham Eminbayli Class information Location: Rooms: TBA Time: Thursday Contact: [email protected] Office hours : Upon appointment Mode of delivery Face-to-face Prerequisites and co-requisites Recommended optional program components Recommended or required readings Textbook : 1. Eugene F. Brigham, Michael C. Ehrhardt: “Corporate Financial Management”, 14 th Edition, South Western Cengage Learning, 2017 Optional readings: 2. Brealey R.A., Myers S.C., Marcus, A.J.: “Fundamentals of Corporate Finance”, 7 th Edition, McGraw-Hill, 2012 3. Stephen A. Ross, R.W. Westerfield, J. Jaffe: “Corporate Finance”, McGraw-Hill Education; 11 th Edition, 2015 1. Peter Atrill: "Financial Management for Decision Makers", Pearson United Kingdom, 7 th Edition ,2014 2. Horngren Sundem Elliott Philbrick “Introduction to Financial Accounting”, Pearson Education Limited 10 th Edition ,2012 3. Berk, DeMarzo, Harford: “Fundamentals of Corporate Finance”, 2 nd Edition, Stanford University ,2012 Course contents Unit Topic Content Reference to textbook and chapter(s)

Upload: others

Post on 23-Mar-2020

2 views

Category:

Documents


0 download

TRANSCRIPT

  • AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY BA PROGRAMS/ MSc

    SYLLABUS

    Course unit title ACCOUNTING AND CORPORATE FINANCE

    Course unit code ACCT 1101

    Type of course unit Compulsory

    Level of course unit Second cycle / Master

    Year of study 1st year

    Semester/trimester when the course unit is delivered

    1st semester

    Number of ECTS credits allocated

    6

    Name of lecturer Ilham Eminbayli

    Class information

    Location: Rooms: TBA Time: Thursday Contact: [email protected] Office hours : Upon appointment

    Mode of delivery Face-to-face

    Prerequisites and co-requisites

    Recommended optional program components

    Recommended or required readings

    Textbook : 1. Eugene F. Brigham, Michael C. Ehrhardt: “Corporate Financial

    Management”, 14th Edition, South –Western Cengage Learning, 2017 Optional readings: 2. Brealey R.A., Myers S.C., Marcus, A.J.: “Fundamentals of Corporate

    Finance”, 7th Edition, McGraw-Hill, 2012 3. Stephen A. Ross, R.W. Westerfield, J. Jaffe: “Corporate Finance”,

    McGraw-Hill Education; 11th Edition, 2015 1. Peter Atrill: "Financial Management for Decision Makers", Pearson United

    Kingdom, 7th Edition ,2014 2. Horngren Sundem Elliott Philbrick “Introduction to Financial Accounting”,

    Pearson Education Limited 10th Edition ,2012

    3. Berk, DeMarzo, Harford: “Fundamentals of Corporate Finance”, 2nd Edition, Stanford University ,2012

    Course contents

    Unit Topic Content

    Reference to textbook and

    chapter(s)

    mailto:[email protected]

  • 1 Introduction to Accounting and Corporate Finance

    a. Financial Management. b. The Goals of the

    Corporation. c. Business Ethics.

    [1] Ch 1 pp. 48

    2

    Financial Statements: Balance Sheet, Cash Flow Statement, Income Statements

    a. Financial Statements and

    Reports. b. The Balance Sheet. c. The Cash Flow and Income

    Statements. d. Depreciation.

    [1] Ch 2 Problem 2-14, Problem 2-15, Case pg. 90

    3

    Analysis of Financial Statements I Simulation of Analysis of Financial Statements

    a. Ratio Analysis. b. Liquidity Ratios. c. Asset and Debt

    Management Ratios. d. Profitability Ratios. (Review spreadsheet solutions on Ratio Analysis I)

    [1] Ch 3 Problem 3-11, Problem 3-12, Problem 3-13, Problem 3-14, Case pg. 127

    4

    Analysis of Financial Statements II Simulation of Analysis of Financial Statements (cont.)

    a. Trend Analysis. b. Tying the Ratios Together:

    The Du-Pont Chart. c. Comparing Ratios. d. Limitations of Ratio

    Analysis. (Review spreadsheet solutions on Ratio Analysis II: Du-Pont Chart)

    [1] Ch 3 Problem 3-11, Problem 3-12, Problem 3-13, Problem 3-14, Case pg. 127

    5

    Time Value of Money Concept Simulation of project assessment (Quiz I, chapters 1, 2, 3)

    a) Time Lines. b) Future and Present Value. c) Fractional Time Periods. d) NPV, PI, IRR, ROI (Spreadsheet tasks on: NPV, IRR, ROI)

    [1] Ch 4 Problem 4-1, Problem 4-2, Problem 4-3, Problem 4-12, Problem 4-13, Problem 4-14, Problem 4-17, Case pg. 185

    6

    Securities and Their

    a. Bond Markets and Bond Valuation.

    [1]

  • Valuation: Bonds and Stocks

    b. Risk on a Bond.

    c. Types of Stocks. d. Stock Valuation.

    Ch 5 Problem 5-1, Problem 5-7, Problem 5-8 Case pg. 230 , Chapter 7 Problem 7-1, Problem 7-10, Problem 7-14, Case pg. 322

    7

    Risk and Return Simulation of Risk and Return assessment

    a. CAPM (Capital Asset

    Pricing Model). b. Volatility vs. Risk. Review spreadsheet solutions on: A) Risk and Return; B) Regression Models; C) CAPM

    [1] Ch 6 Problem 6-1, Problem 6-2, Problem 6-3, Problem 6-4,

    Case pg. 284

    8

    Midterm Exam

    9

    Fundamental Concepts: Risk and Return (Quiz II, chapters 4, 5, 7)

    a. Investment Returns. b. Portfolio Risk. c. The Relationship between

    Risk and Return.

    [1] Ch 6 Problem 6-1, Problem 6-2, Problem 6-3, Problem 6-4,

    Case pg. 284

    10

    Strategic Investment Decisions: The Cost of Capital Simulation of WACC calculation and Project Risk assessment

    a. The Weighted Average Cost of Capital (WACC).

    b. Factors Affecting WACC. c. Estimating Project Risk

    Using WACC. Review spreadsheet solutions on: A) Bond and Stocks Valuation; B) Applying WACC in various

    [1] Ch 9 Problem 9-1, Problem 9-2, Problem 9-3, Problem 9-4,

    Case pg. 394

  • businesses

    11

    Risk Analysis and Real Options

    a. Project Risk Analysis. b. Introduction to Real

    Options. c. Decision Trees. d. The Optimal Capital Budget

    .

    [1] Ch 10 Problem 10-1, Problem 10-2, Problem 10-3, Problem 10-4, Problem 10-6, Problem 10-7, Case pg. 432

    12

    Special Topics: Derivatives and Risk Management Simulation of The Black-Scholes Option Pricing Model

    a. Derivatives and Options. b. The Black-Scholes Option

    Pricing Model (hoadley.net/options/bs.htm).

    c. How Derivatives are used to reduce the Risk.

    Review spreadsheet models on: A) Risk Analysis; B) Alternative Projects Estimation; C) Applying Decision Trees; D) Black-Scholes Model; E) Hedging the Risk.

    [1] Ch 23 Problem 23-1, Problem 23-2, Problem 23-3, Problem 23-4,

    Case pg. 942

    13

    Bankruptcy, Reorganization, and Liquidation (Quiz III, chapters 6, 9, 10, 23)

    a. Financial Distress. b. Bankruptcy Estimation. c. Motivations for Bankruptcy. Brief review of spreadsheet tasks on Bankruptcy Estimation.

    [1] Ch 24 Problem 24-1, Problem 24-2,

    Case pg. 972

    14

    Multinational Financial Management Simulation of using PPP

    a. Global Corporations. b. Exchange Rates. c. The International Monetary

    System. d. Trading in Foreign

    Exchange (FX). e. Purchasing Power Parity

    (PPP).

    [6] Ch 23

    Team Presentations

  • Review spreadsheet models on: A) Instruments of Technical Analysis on Foreign Exchange Markets (BB, RSI, MACD); B) Applying of PPP.

    15

    cont’d Multinational Financial Management

    a) Inflation, Interest Rates, and

    Exchange Rates. b) International Money and

    Capital Markets. Gathering of distributed assignments/presentations.

    [1] Ch 3

    Team Presentations

    16 Final exam

    Planned learning activities and teaching methods

    Lectures, class discussions, task solutions, assignments, quizzes and exams

    Language of instruction

    English

    Work placement(s) –

    Accounting and Corporate Finance ECTS allocated based on Student Workload

    Activities Number Duration

    (hour) Total

    Workload(hour)

    Course duration in class (including Exam weeks) 15 3 45

    Labs and Tutorials

    Assignment - -

  • Project/Presentation/Report 5 4 20

    E-learning activities - - -

    Quizzes 3 2 6

    Midterm Examination 1 3 3

    Final Examination 1 3 3

    Self Study 14 7 112

    Total Workload 189

    Total Workload/30(h) 6,3

    ECTS Credit of the Course 6

  • AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY

    BA PROGRAMS/ MSc SYLLABUS

    Course unit title Economics Course unit code ECON 1101

    Type of course unit Compulsory

    Level of course unit Second Cycle Master

    Year of study First year

    Semester when the course

    unit is delivered 1st Semester

    Number of ECTS credits

    allocated

    6

    Name of lecturer Emil Gasimzade Class information

    Location:

    Time:

    Contact: [email protected]

    Office hours: upon appointment

    Learning outcomes of the

    course unit

    Course Description

    The course illustrates the way in which economists view the world. You

    will learn about basic tools of micro- and macroeconomic analysis and, by

    applying them, you will understand the behavior of households, firms and

    government. Problems include: trade and specialization; the operation of

    markets; industrial structure and economic welfare; the determination of

    aggregate output and price level; fiscal and monetary policy and foreign

    exchange rates. The purpose of this course is to introduce you to a new way

    of looking at the world. The course focuses on core economic concepts and

    provides opportunities to practice using them in contexts like you will

    encounter throughout your lives. It also introduces you to some basic

    models that economists use to make sense of what they observe around

    them. We will also explore how economists analyze the impact of different

    policies within the context of these models and determine whether the

    policy will have the intended – or an unintended – outcome. Foremost, the

    goal of the course is to help you think like an economist in ways that will

    help you make better decisions.

    Learning Outcomes of the Course:

    o Develop the ability to explain core economic terms, concepts, and theories.

    o Demonstrate the ability to employ the “economic way of thinking.” o Demonstrate awareness of global, historical, and institutional

    forces.

    o Apply economic theories and concepts to contemporary social issues, as well as formulation and analysis of policy.

    o Recognize the role of ethical values in economic decisions. o Apply both oral and written communication skills within the

    discipline.

    o Demonstrate quantitative reasoning skills.

    mailto:[email protected]

  • o Demonstrate the ability to collect, process, and interpret data, including statistical inference.

    o Demonstrate computer proficiency within economics. o Be able to use critical thinking skills within the discipline of

    economics about economic matters.

    Mode of delivery (face-to-

    face, distance learning)

    Face-to-face

    Prerequisites and co-

    requisites NONE

    Recommended optional

    programme components NONE

    Recommended or required

    reading

    Textbook:

    Cowen, Tyler and Alex Tabarrok. Modern Principles of Economics, 3rd

    edition, Worth Publishers, 2015

    I strongly encourage you to read a newspaper such as The Wall Street Journal

    or Financial Times on a daily basis. The Economist, a weekly publication, is

    also highly recommended.

    Additional information will be distributed either electronically or delivered in

    printed forms.

    Planned learning activities

    and teaching methods Classroom lecturing, assignment, discussion sessions, presentation.

    Language of instruction English

    Work placement(s) NA

    Course contents:

    1. Introduction to ECON 1101; The Economic Way of Thinking; Comparative Advantage and Trade

    Classroom exercise: Kiyotaki Wright Hazlett Experiment

    [1] Ch 1,2

    2. Supply and Demand; Market System Classroom exercise: The guessing game

    [1] Ch 3,4

    3. Price Elasticities Classroom exercise: The Handshake Market

    [1] Ch 5

    4. Market Outcomes in the Presence of Taxes, Subsidies, and Price Controls

    Classroom exercise: Price discrimination

    [1] Ch 6-8

    5. Market Outcomes and Policy Suggestions in the Presence of Externalities, Public Goods and Common Resources

    Classroom exercise: Quiz

    [1] Ch 10-19

    6. Intro to Macroeconomics; Measuring Economic Output

    Classroom exercise: The Island Game

    [1] Ch 26

    7. Economic Growth and Public Policy

    Classroom exercise: Economic Growth Problems

    [1] Ch 27,28

    8. Midterm Exam

  • 9. Savings, Investment, and the Financial System Classroom exercise: Warren Buffett

    [1] Ch 29

    10. Unemployment Classroom exercise: Unemployment problems

    [1] Ch 30

    11. Inflation and the Quantity Theory of Money

    Classroom exercise: Bank runs

    [1] Ch 31

    12. A Model of the Macroeconomy: Aggregate Demand and Aggregate Supply

    Classroom exercise: Using Infographics to Visualize Macroeconomic Data

    [1] Ch 32

    13. Monetary Policy and Fiscal Policy Classroom exercise: Central Bank and Budget analysis

    [1] Ch 34-37

    14. Firm Level Decisions under Perfect Competition

    Classroom exercise: Price competition

    [1] Ch 11

    15. Monopoly: Firm Level Decisions and Policy Suggestions under Imperfect Competition

    Classroom exercise: Bertrand Competition

    [1] Ch 13

    16. FINAL EXAM

    Workload

    Activities Number Duration

    (hour)

    Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 15 15

    Individual or Group Work 14 5 70

    Midterm Exam 1 3 3

    Paper/Project (including preparation

    and presentation) 2 8 16

    Homework 4 5 20

    Preparation for the Final Exam 1 15 15

    Final Exam 1 3 3

    Total Workload 186

    Total Workload/30(h) 6.03

    ECTS Credit of the Course 6

  • AZERBAIJAN STATE OIL AND INDUSTRY

    UNIVERSITY

    BA PROGRAMS/ MSC SYLLABUS

    General management - Personality Course unit title General management – personality Course unit code MGT2301

    Type of course unit Elective

    Level of course unit 2nd cycle Master program Year of study 1-2 year

    Semester when the course

    unit is delivered 2nd-4th Semester

    Number of ECTS credits

    allocated

    7

    Name of lecturer Habiba Hajiyeva

    Class information

    Time: Friday

    Contact: [email protected]

    Office hours: upon appointment

    Learning outcomes of the

    course unit

    Course Description

    The course covers the theory and practices of strategic planning and

    management for business organizations. The course is integrative and

    interdisciplinary. We will integrate the skills and knowledge from your

    business core courses. This includes, but is not limited to, finance,

    accounting, marketing, economics and human resources. The course will

    enable you to develop a framework of analysis for all areas of strategic

    management, including creating a competitive edge. The class meetings

    will generally include lecture, discussion, case analysis, instructive videos,

    consultation, group meetings, and group presentations. The course

    objectives also include stimulating creativity in business solutions and

    strategies, responsibility, team building and leadership skills.

    Learning Outcomes of the Course:

    After completing the course students should be able to:

    Summarize strategy of an organization in a “strategy statement”

    Distinguish between corporate, business and functional strategies

    Understand different people’s roles in strategy work

    Appreciate the importance of different organizational contexts, academic disciplines and theoretical lenses to practical strategy analysis.

    Mode of delivery Face-to-face

    Prerequisites and co-

    requisites MGT1203

    Recommended optional

    programme components Excel, Power point.

    Recommended or required Textbook:.

  • reading

    Gerry Johnson, Richard Whittington, Kevan Scholes, Duncan Angwin, Patrick Regner. “Exploring strategy” text and cases. Pearson education limited 2017

    Additional information will be distributed either electronically or delivered in

    printed forms.

    Planned learning activities

    and teaching methods Classroom lecturing, assignment, discussion sessions, presentation.

    Language of instruction English

    Work placement(s) NA

    Course contents:

    1. Introducing Strategy

    Strategy statement

    Corporate, business and functional strategies

    Different people’s roles in strategy work

    [1]

    Cp 1

    2. Macro-environment (External) analysis

    Analyzing an organization’s position in the external environment

    Environmental forecasting

    Case study: PESTEL analysis

    [1]

    Cp 2

    3. Internal-environment (industry and sector) analysis

    Porter’s Competitive Five Forces Framework to analyze industries or sectors

    Strategic groups, market segments and strategy canvas

    Case study: Five forces analysis of advertising industry

    [1]

    Cp 3

    4. Resources and capabilities (intellectual assets)

    Relationship between strategy and resources

    VRIO analysis of resources and capabilities Case study: Rocket Internet

    [1]

    Cp 4

    5. Business level strategy and models

    Assessing the benefits of cooperation in business strategy

    Applying the game theory to business strategy Case study: the IKEA approach

    [1]

    Cp 7

    6. Corporate level strategy and diversification

    Alternative strategy options, including market penetration, product development,, market development and diversification.

    Diversification drivers Vertical integration and outsourcing

    Work assignments (individual and group)

    [1]

    Cp 8

    7. International strategy

    Internationalization drivers.

    Four main types of international strategy Case study: China goes to Hollywood

    [1]

    Cp 9

    8. Midterm Exam

  • 9. Entrepreneurial strategy

    Key issues in opportunity recognition

    Entrepreneurial process and in various stages of growth

    Case study: ROVIO entertainment

    [1]

    Cp 10

    10. Strategic control and governance

    Stakeholder analysis

    Gapp analysis

    Case study: ITV, DIY, buy or ally?

    Lab: Drawing Gantt Chart diagram via Excel.

    [1]

    Cp 5,12

    11. Organizing and strategy

    Main organizational structural types

    Key issues in designing organizational control systems

    Case study: One Sony?

    Lab: Drawing Project Network diagram via Excel.

    [1]

    Cp 14

    12. Strategic leadership

    Leadership styles

    Types of strategic change Case study: Sergio Marchionne – motor of change

    [1]

    Cp 15

    13. Strategy development processes

    Deliberate and emergent strategy development

    Managing strategy development processes in organizations

    Case study: Alphabet – who and what drives the strategy?

    [1]

    Cp 13

    14. The practice of strategy

    Different approaches to strategizing activity

    Key elements in various common strategy methodologies

    Case study: Participative strategy process in the city of Vaasa

    [1]

    Cp 16

    15. Group project presentations. Consultation.

    16. FINAL EXAM

    Course workload calculation

    Activities Number Duration

    (hour)

    Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 20 20

    Individual or Group Work 14 5 70

    Midterm Exam 1 3 3

  • Paper/Project (including preparation

    and presentation)

    Homework 10 4 40

    Preparation for the Final Exam 1 35 35

    Final Exam 1 3 3

    Total Workload 213

    Total Workload/30(h) 7.1

    ECTS Credit of the Course 7

  • AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY BA PROGRAMS/ MSc

    SYLLABUS

    Course unit title International Management

    Course unit code MGT 1202

    Type of course unit Compulsory

    Level of course unit Second cycle Master

    Year of study Second year

    Semester when the course unit is delivered

    3rd semester

    Number of ECTS credits allocated 6

    Name of lecturer Zulfugar Ibrahimli

    Class information

    Location:____ Room: _______ Time: _____________ Office hours: upon students’ appointment Contact: [email protected]

    Learning outcomes of the course unit

    Course description: The aim of International management course is to weapon students with necessary theoretical knowledge and practical tools, that will navigate them in solution of complex tasks in international business environment. The primary purpose of the course is to prepare students for careers in a dynamic global environment wherein they will be responsible for effective strategic, organizational, and interpersonal management. The course guides students as to what actions to take, and how to develop the skills necessary to design and implement global strategies, to conduct effective cross-national interactions, and to manage daily operations in foreign subsidiaries.

    Learning Outcomes: After completing MGT 1202 Course, students should be able to: 1. Understand cultural context of global business operations; 2. Develop the knowledge and skills needed to manage effectively in different cultures; 3. Apply management concepts and techniques in a multinational environment; 4. Learn basic principles and frameworks of international strategies formulation 5. Enhance understanding of what determines the success and failure of companies around the globe.

    Mode of delivery Face-to-face

    Prerequisites and co-requisites -

    Recommended optional programme components

    -

  • Recommended or required reading

    1. Fred L., Doh. J., International management: culture, strategy, and behavior, 8th edition, 2010;

    2. Deresky H. International Management. Managing Across Borders and Cultures. Text and Cases. 8th edition, 2014;

    3. Cullen J.B., Parboteeah K.P. International Business Strategy and the Multinational Company, 2012;

    4. Fatehi K, Choi J. International Business Management Succeeding in a Culturally Diverse World, 2nd Edition,

    2018;

    5. Mead R., and Andrews T.G. International Management. Culture and Beyond, 4th, 2009;

    6. Morschett D., Schramm-Klein H., Zentes J. Strategic International Management. Text and Cases, 3rd Edition,

    2015;

    7. The Oxford Handbook of International Business, Edited by Alan M. Rugman, and Thomas L. Brewer, 2005

    Planned learning activities and teaching methods

    Classroom lecturing, case analysis and discussions, presentations, teamwork reports

    Language of instruction

    English

    Course contents:

    1 Lecture: Introduction to International Management Case analysis and discussions

    [1] Cp 1

    2 Lecture: The Cultural Context of International Management Case analysis and discussions Case: Marketing to Hispanics in the United States

    [1]

    Cp 4

    3 Lecture: Managing Across Cultures Case analysis and discussions

    [1] Cp 5

    4

    Lecture: Cultural Diversity, Organizational Culture and Effective management Case analysis and discussions

    [1] Cp 6

    6 Lecture: Managing Cross-Cultural Communication Quiz! Case analysis and discussion

    [1] Cp 7

    7 Lecture: International Strategic Management: Formulation of Global and Regional Strategies Case analysis and discussions Case: Toyota as (Almost) Number One

    [1]

    Cp 8

    8 Midterm Exam

  • 9 Lecture: Entry Strategies and Organizational Structures Case analysis and discussions

    [1] Cp 9

    10 Lecture: Political Risk, Government Relations, and Strategic Alliances Case analysis and discussions

    [1] Cp 10

    11

    Lecture: Global Human Resources Management Case analysis and discussions

    [1] Cp 14

    12 Lecture: Motivating Employees in a Multicultural Context Case analysis and discussions

    [1] Cp 12

    13 Lecture: Leadership Across Cultures Case analysis and discussions

    [1] Cp 13

    14 Lecture: Ethics, and Social Responsibility Case analysis and discussions Case: Plan A at Marks & Spencer

    [1]

    Cp 3

    15 Report presentations

    Final Exam

    Student workload:

    Activities Number Duration

    (hour) Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 15 15

    Individual or Group Work 14 5 70

    Midterm Exam 1 3 3

    Paper/Project (including preparation and presentation)

    1 13 13

    Homework 3 4 12

    Quizzes 2 2 4

    Preparation for the Final Exam 1 20 20

    Final Exam 1 3 3

    Total Workload 182

    Total Workload/30(h) 6.06

    ECTS Credit of the Course 6

  • AZERBAIJAN STATE OIL AND INDUSTRY

    UNIVERSITY

    BA PROGRAMS/ MSc (syllabus)

    Course unit title LAW Course unit code LLB 1201

    Type of course unit Compulsory

    Level of course unit 2nd cycle master

    Year of study First year

    Semester when the course

    unit is delivered 2nd Semester

    Number of ECTS credits

    allocated

    6

    Name of lecturer Orkhan Hasanov

    Class information

    Location:

    Time: Office hours upon appointment

    Contact: [email protected]

    Learning outcomes of the

    course unit

    Course Description

    The course aims to:

    - to prove an introduction to legal concepts and rules and the machinery

    involved in their introduction, application and enforcement;

    - Encourage candidates to explore and understand the substantive rules of law;

    - Explore and critically assess the value of legal rules, processes and

    institutions;

    - Develop skills of communication, interpretation, reasoning and analysis.

    Learning Outcomes of the Course:

    A student who completes this course successfully acknowledges the rule

    of law, by differentiating legal rules and social rules

    Introduce students to the global (and Azerbaijan) public law order,

    including the roles and powers of, and interactions between, the three

    branches of government: executive, legislature, and judiciary

    A student who fulfills all requirements of this course critically

    conceptualizes the relationship between law and legal rules in terms of

    jurisprudence by considering statutes and provisions, and with reference

    to international agreements

    Explore, analyze and practice using various approaches to statutory

    interpretation;

    Develop students’ legal research, analysis and writing skills through the

    course assignments.

    mailto:[email protected]

  • A student who completes this course successfully embeds legal systems

    into both Common Law and Civil Law context by identifying rules and

    principles in the context of history of law and practices. Mode of delivery Face-to-face

    Prerequisites and co-

    requisites NONE

    Recommended optional

    programme components NONE

    Recommended or required

    reading

    Required: Textbook:

    1. Phil Harris, “An Introduction to Law”, 7th edition, Cambridge University Press, (2007)

    Recommended:

    2. Joel Feinberg and Hyman Gross “Philosophy of Law”, 5th ed., eds., Wadsworth Publishing Company 1995;

    3. George P. Fletcher, “Basic Concepts of Legal Thought”, Oxford University Press 1996.

    4. Malcolm n. Shaw “International Law”, Cambridge University Press, sixth edition, QC, 2008

    5. Mindy chen-wishart “Contract Law”, third edition, , Oxford University Press, 2010

    6. Nicola de Luca “European Company Law” (Text, Cases and Materials), Cambridge University Press, 2017

    7. Philip Weinberg “Understanding environmental Law”, third edition, LexisNexis Law School, 1995

    Required - Reading: Other Reading materials around the subject will be

    distributed by the instructor on a case-by-case basis.

    The course material consists of powerpoint presentations, lecture notes and

    readings from the textbook. Powerpoint presentations will be made available

    after the respective classes have taken place.

    Additional information will be distributed either electronically or delivered in

    printed forms.

    Planned learning activities

    and teaching methods Classroom lecturing, assignment, discussion sessions, presentation.

    Language of instruction English

    Work placement(s) NA

    Course contents:

    1. Introduction - Definition of law - Purpose of law -

    Sources of law - Civil law vs. Common law – General

    description of law branches (inter (national) law)

    [1]

    Cp 1

    pp 2-21

    2. Business, Societal, and Ethical Contexts of Law

    [1]

    Cp 2

    pp 21-60

    3. Inter (national) human rights law

    Cases:

    CASE OF N.A. v. FINLAND (Application no. 25244/18)

    [1]

    Cp 4

    Pp 90-109

    https://www.buecher.de/ni/search/quick_search/q/cXVlcnk9Tmljb2xhK2RlK0x1Y2EmZmllbGQ9cGVyc29uZW4=/session/trfhni3c7mj3ubglrl6gr9v6a7/https://www.buecher.de/ni/search_search/quicksearch/q/cXVlcnk9Q2FtYnJpZGdlK1VuaXZlcnNpdHkrUHJlc3MmZmllbGQ9aGVyc3RlbGxlcg==/session/trfhni3c7mj3ubglrl6gr9v6a7/https://hudoc.echr.coe.int/eng#{"appno":["25244/18"]}

  • Hanrahan v. Merck Sharp and Dohme (Ireland) Ltd.

    4. Legal and contractual obligations in the context of

    Intergovernmental Oil and Gas Agreements (PSA, HGA)

    Cases:

    Marks and Spencer v BNP Paribas [2015] UKSC 72

    Transocean v Providence [2016] EWCA Civ 372

    Host Government Agreements

    and relevant protocols will be

    made available during the course

    5. Laws of Contracts (Contracts - Freedom of contract)

    Case:

    Marks and Spencer v BNP Paribas [2015] UKSC 72

    [4]

    pp W1- W45)

    6. Contract Law -continued

    [4]

    Cp 11

    pp 349-386)

    7. Constitutional law concepts (Secularism - Social state -

    Rule of law - Separation of powers)

    Cases: Williams v Commonwealth of Australia & Ors [2012] HCA 23 The Commonwealth v Australian Capital Territory [2013] HCA 55

    [1]

    Cp 12

    pp 386-412

    8. Midterm Exam

    9. International Law

    [3]

    Cp 1&2

    10. EU Law

    [1]

    Cp 8

    pp 215-232

    11. Business Law

    [1]

    Cp 3 pp 68-90

    12. Corporate Governance – company law

    Case:

    KILLING v. UNITED STATES ( No. 08-1394 ) 2010

    [5]

    Cp 1,2

    13. Environmental Law

    [6]

    pp 2-47

  • 14. Torts and Products Liability - Consumer Protection –

    statutory requirements adopted in this respect on both

    global and local scale

    [1]

    Cp 9 pp 241-302

    15. International Dispute Resolution

    [1]

    Cp 6

    pp 150-185

    16. FINAL EXAM

    Workload

    Activities Number Duration

    (hour)

    Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 10 10

    Individual or Group Work 14 5 70

    Midterm Exam 1 3 3

    Paper/Project (including preparation

    and presentation) 2 4 8

    Homework 5 5 25

    Preparation for the Final Exam 1 20 20

    Final Exam 1 3 3

    Total Workload 181

    Total Workload/30(h) 6.03

    ECTS Credit of the Course 6

  • AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY

    BA PROGRAMS/ Msc SYLLABUS

    Course unit title MARKET ANALYSIS Course unit code MRKT 1101

    Type of course unit Compulsory

    Level of course unit 2nd cycle Master

    Year of study 1 st year

    Semester when the course unit is

    delivered

    Fall 2019

    Number of ECTS credits

    allocated

    6

    Name of lecturers Jeyhun Garayev

    Class information

    Location: Room: (Before the lesson we will tell it exactly)

    Time: Monday

    Office hours: upon students’ appointment

    Contact: [email protected]

    Course desciption

    This class delivers the basic understanding of how to analyze the market and

    effectively evaluate it. It will introduce the students with different theoretical and

    practical tools to evaluate the economy, industry and financials of the specific

    companies. Students will closely work with business case studies encompassing

    wide range of subjects in the field of business analytics.

    Learning outcomes of the course

    unit

    Upon completion of this course students will gain deep understanding of how to

    analyze the market from economical and financial perspective and use this

    information for better investment decision making.

    Mode of delivery Face-to-face

    Prerequisites and co-requisites None

    Recommended optional

    programme components

    • Using Excel for Business Analysis • Using PowerPoint for Business Analysis

    Recommended or required

    reading

    Textbook

    1. 50Minutes.com “PESTLE Analysis: Prepare the Best Strategies in Advance”

    by (2015-09-17) (1656)

    2. 50Minutes.com “Porter's Five Forces: Understand competitive forces and stay

    ahead of the competition” (September 17, 2015)

    3. 50Minutes.com “The BCG Growth-Share Matrix: Theory and Applications:

    The key to portfolio management” (September 2, 2015)

    4.Tony Morden, “Principles of Strategic Management (Innovative Business

    Textbooks)” Routledge,2016

    5. Francisco Fortin, “Ansoff. Matrix Essentials” Product Lifecycle

    Management: John Start, 21st Century Paradigm for Product Realization

    (Decision Engineering). 2016

    6.Mark Yarnell “Your First Year in Network Marketing”, CFA Level 1 Financial

    Reporting Analysis materials. Schweser Notes. Chapter 25-27, 2017

    7. Mark Yarnell “Your First Year in Network Marketing”, CFA Institute Level 2

    Equity Investment. Industry and Company analysis Reading 33, 2016

    8. ACCA P5 Advanced Management Accounting. Chapter 17, 2017

  • Planned learning activities and

    teaching methods

    Classroom lecturing, class discussions and brainstorming, class exercises and

    assignments. During the course the students will have to present one assignment

    (presentation), pass two quizzes, solve some case studies, pass the mid-term and

    final exams.

    Language of instruction English

    Course contents:

    Course content Literature

    1

    PESTLE analysis.

    Course content: Using top down approach to analyze the general environment

    within the specific country or region

    [1] Ch 1.

    [2] pp 30-35

    2

    SWOT analysis and Porter’s Five Forces. Course content: Using the tool to

    understand the competitive environment and strength, weaknesses, opportunities

    and threats of the firms in the industry.

    [1] Ch 2.

    [2] pp 37-43

    3

    BCG matrix, McKinsey 7S model, Strategy of the company.

    Course content: Analysis of the strategy of the firms in the market. Which

    strategic tools best fit firms in the specific industry. Theoretical background

    presented and application of the model discussed.

    [2] pp 48-54

    [5] Ch 2.

    [4] ch 4

    4

    GE McKinsey matrix.

    Growth strategies: “Ansof Matrix”, Product life cycle.

    Course content: In this class we will discuss main tool to analyze the product

    portfolios of the firms existing in different industries.

    [1] Ch 6.

    [2] pp 56-65

    5

    Network market and market boundaries.

    Course content: Analysis of the companies dwelling in network industries and

    analysis of their products. What is market boundaries and how to firms should

    respond to them?

    [1] Ch 9.

    [2] pp 56-65

    6 Case study [8] pp 22

    7

    Financial statements: Basics

    Course content: In this class we cover the basics of the financial statements,

    namely balance sheet, profit and loss statement and cash flow statement

    [1] Ch11.

    [4] ch 2

    8 MİDTERM EXAM

    9

    Financial modelling: Build up

    Course content: In this class we cover how to project the financials of any firm

    and how to make investment decision based on those figures

    [1] Ch 12.

    [4] ch 8

    10

    Ratio analysis

    Course content: The class will be introduced with many different financial ratios

    especially, activity, liquidity, solvency and profitability ratios and will develop the

    models and understanding how to use them in projections.

    [2] Ch 3.

    11 Return concepts

    [6] Ch 6.

    [4] ch 5

  • Course content: The investment decision should be made on return notion. The

    class will be introduced with the return concept and will cover main its varieties.

    12

    Free cash flow valuation of the firm

    Course content: The class will cover understanding how to use one of the

    valuation methods to make investment decision. Based on learning from previous

    classes, during the lecture practical application will be undertaken

    [1] Ch 9.

    [5] Ch 9.

    13

    Investment considerations:

    Dividend policy

    Course content: While making investment decision investors analysis the dividend

    policy of the firms as it s main source of income. The class will be introduced with

    understanding how to analyze dividend policy of the firms which is publicly

    available information.

    [6] Ch 8.

    [4] ch 11

    14

    Corporate failure, Corporate governance and code of ethics

    Course content: Corporate governance, corporate failure and code of ethics are

    quite important while making investment decision. The class will be introduced

    with tools how to detect such firms not to make wrong investments.

    [5] Ch 2.

    Textbook 4. ch 2

    15 Revision .

    FINAL EXAM

    Activities Number Duration

    (hour)

    Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 25 25

    Individual or Group Work

    (case studies) 14 4 56

    Midterm Exam 1 3 3

    Paper/Project (including preparation

    and presentation) 1 15 15

    Homework (repeat previous classes

    studies and learn reading list) 13 1 13

    Preparation for the Final Exam 1 23 20

    Final Exam 1 3 3

    Total Workload 180

    Total Workload/30(h) 6

    ECTS Credit of the Course 6

  • AZERBAIJAN STATE OIL AND INDUSTRY

    UNIVERSITY

    BA PROGRAMS SYLLABUS

    Course unit title STATISTICAL BUSINESS ANALYSIS

    Course unit code STAT 1101

    Type of course unit Compulsory

    Level of course unit Second cycle Master

    Year of study 1st year

    Semester when the course

    unit is delivered

    1st and 2nd semesters

    Number of ECTS credits

    allocated

    6

    Name of lecturers Rafig Aliyev

    Kamala Aliyeva

    Class information

    Location: Room: 1,3

    Time: Days of week

    Contact: [email protected], [email protected]

    Office hours: Upon appointment

    Learning outcomes of the

    course unit

    Course Description

    This course Statistics is the branch of mathematics that transforms data into useful

    information for decision makers. These transformations often require complex

    calculations that are practical only if done by computer, so using statistics usually

    means also using computers. This is especially true when dealing with the large

    volumes of data that a typical business collects. Attempting to do statistics, using

    manual calculations for such data would be too time-consuming to benefit a

    business.

    In STAT 1101 you learn a set of methods and the conditions under which it is

    appropriate for you to use those methods. And because so many statistical methods

    are practical only when you use computers, learning statistics means learning more

    about using computer programs that perform statistical analyses.

    Learning Outcomes of the Course:

    After completing the course, students should be able to:

    * Present and describe business data and information properly

    * Draw conclusions about large populations, using information collected from

    samples

    * Make reliable forecasts about a business activity

    * Improve business processes

    Mode of delivery Face-to-face

    Prerequisites and co-

    requisites

    None

    Recommended optional

    programme components

    PHStat Program, Microsoft Excel.

    mailto:[email protected]

  • Recommended or required

    reading

    The Textbook ;

    1. David M. Levine David F. Stephan. Timothy C. Krehbiel Mark L. Berenson:”STATISTICS FOR MANAGERS USING Microsoft Excel”.

    Printed in USA.Copyright 2008, 2005, 2002, 1999, 1997 by Pearson Education, Inc.

    Published by Prentice Hall,Upper Saddle River, New Jersey 07458

    Option:

    2. A.Webster. Richard D.Irwin, “Applied Statistics for Business and Economics” Richard D Irwin -1996

    Course reading is composed of articles, laws as well as book chapters. Additional

    information will be distributed either electronically or delivered in printed forms.

    Planned learning activities

    and teaching methods

    Classroom lecturing, case study discussions and brainstorming, feedback and

    presentation sessions, discussion sessions, Software commands for Excel

    Language of instruction English

    Course contents:

    1 Introduction to the Course.

    The meaning and role of Statistics. The Population and the Sample.

    Types of Data. Types of Sample.

    Descriptive and Inferential Statistics.

    LAB: Constructions and graphing different type of categorical and numerical

    Data. Generating a Bar, Pie Chart ,Line Graphs (Instructions-Software commands

    for Excel )

    Cp 1

    Cp 2

    [1]

    2

    Describing Sets of Measurement. Frequency Distribution.

    Graphical methods.

    Measures of Variability.

    Lab. Constructions and graphing Relative and Cumulative Frequency Distribution

    Generating Measures of Central tendency, Variation, and share Using Microsoft

    Excel

    Cp 2

    Cp 3

    [1]

    3 Principles of Probability. The probability of an Event.

    Probability Laws and their use.

    Bays rule and conditional probability

    Lab. Calculating Simple, Joint ,Compound, Conditional Probabilities using

    Microsoft Excel

    Cp 4

    [1]

    4

    Probability Distributions and Interferences.

    Probability Distributions.

    The Probability Distribution for a Discrete Random Variable

    Expected Value of a Discrete Random Variable

    Variance and Standard Deviation of a Discrete Random Variable

    Lab. Generating a Histograms of Binomial, Poisson, and Hypergeometric

    Distributions. (Software commands for Excel)

    Cp5

    [1]

    5

    Principles of Normal Distribution.

    Finding particular value associated with known probabilities.

    Assessing the normal assumptions.

    The Exponential Distribution.

    Lab. Calculating Normal Probabilities using Microsoft Excel.

    Generating Exponential Probabilities using Microsoft Excel.

    Cp 6

    [1]

    6 Sampling Distributions. Inferential Statistics.

    Sampling Distributions of the proportions.

    Sampling from Finite Populations.

    Cp 7

    [1]

  • Lab. Simulating Sampling Distributions using Microsoft Excel

    7 Confidence Interval Estimation. Confidence Interval Estimation for the Proportion

    Determining Sample Size

    Sample Size Determination for the Mean

    Sample Size Determination for the Proportion

    Calculating confidence interval estimation when σ is known and σ-is unknown.

    Lab. Determining confidence interval estimation when σ is known and σ-is

    unknown using Microsoft Excel (on p.429-440) .

    Determining the sample size for estimating the mean using Microsoft Excel

    Cp 8

    [1]

    8 MIDTERM EXAM

    9 Inferences from Large Samples. Point Estimation.

    Interval Estimation. Hypothesis Testing .

    A connection between Confidence Interval estimation and hypothesis Testing.

    Lab. Performing the t Test and z Test Hypothesis for the Mean when σ is known

    and σ-is unknown using Microsoft Excel.

    Cp 9

    [1]

    10 Inferences from small Samples.

    Tests of two populations.

    F Test for Differences in two variances.

    Comparing Two related samples.

    Lab. Performing the Pooled – Variance t test for Differences in two Means using

    Microsoft Excel

    Cp 9

    [1]

    11

    Simple Regression and Correlation Analysis.

    Linear Probabilistic Model.

    The Method of Least Squares.

    Coefficient of Correlation. Assumptions.

    Lab. Calculating the simple linear regression coefficients using Microsoft Excel.

    Generating Residual plots using Microsoft Excel.

    Cp 10

    [1]

    12 Multiple Regression. Formulating a Multiple Regression Model.

    Measuring the Goodness of Fit of a Model.

    Lab. Calculating the coefficients of Partial Determination using Microsoft Excel.

    Generating Transformations

    Cp 11

    [1]

    13 Time Series Analysis.

    Smoothing the Annual Time-series.

    Least-squares Trend Fitting and Forecasting.

    Lab. Calculating Moving average using Microsoft Excel.

    Generating Time Series Forecasting of Monthly or Quarterly Data

    Cp 11

    [1]

    14 Forecasting Models. The importance of business forecasting.

    Least-squares Trend Fitting and Forecasting.

    Calculating Mean Absolute Deviation (MAD).

    Choosing appropriate forecasting models.

    Lab. Performing Least-squares Trend Fitting using Microsoft Excel.

    Cp 11

    [1]

    15 Decision Making. Calculating Opportunity loss. Criteria for Decision Making.

    Decision Making with sample information.

    Lab. Decision Analysis and Decision-Making using Microsoft Excel.

    Cp 9

    Cp 10

    Cp 11

    [1]

    FINAL EXAM

  • Student workload

    Activities Number Duration

    (hour)

    Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 15 15

    Individual or Group Work 14 4 56

    Midterm Exam 1 3 3

    Paper/Project (including preparation and

    presentation) 2 8 16

    Homework 3 6 18

    Preparation for the Final Exam 1 30 30

    Final Exam 1 3 3

    Total Workload 183

    Total Workload/30(h) 6.1

    ECTS Credit of the Course 6

  • AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY

    BA PROGRAMS

    SYLLABUS

    Course unit title INTRODUCTION TO NATURAL LANGUAGE PROCESSING

    Course unit code NLP 3101

    Type of course unit Elective

    Level of course unit Second cycle Master

    Year of study 1st-2nd years

    Semester when the course unit is

    delivered

    3rd-4th semester

    Number of ECTS credits allocated 7

    Name of lecturer Rafig Aliyev, Latafat Gardashova

    Class information

    Location:

    Time:

    Contact: [email protected]

    Office hours: upon appointment

    Learning outcomes of the course unit

    Natural Language Processing (NLP) is the engineering art and science

    of how to teach computers to understand human language. NLP is a type

    of artificial intelligence technology, and it's now ubiquitous -- NLP lets

    us talk to our phones, use the web to answer questions, map out

    discussions in books and social media, and even translate between human

    languages. Since language is rich, ambiguous, and very difficult for

    computers to understand, these systems can sometimes seem like magic -

    but these are engineering problems we can tackle with data, math, and

    insights from linguistics.

    This course will introduce NLP methods and applications including

    probabilistic language models, machine translation, and parsing

    algorithms for syntax and the deeper meaning of text. During the course,

    students will:

    (1) learn and derive mathematical models and algorithms for NLP;

    (2) become familiar with key facts about human language that motivate

    them, and help practitioners know what problems are possible to solve;

    and

    (3) complete a series of hands-on projects to implement, experiment with,

    and improve NLP models, gaining practical skills for natural language

    systems engineering.

    Mode of delivery Face-to-face

    Prerequisites and co-requisites None

    Recommended optional programme

    components

    Recommended or required reading

    Textbooks:

    1. Jurafsky and Martin (JM), Speech and Language Processing, 2nd

    edition, Kindle Edition (2014).

    2. Manning and Schütze (MS) , Foundations of Stat NLP. (2001 )

    mailto:[email protected]://web.stanford.edu/~jurafsky/slp3/https://web.stanford.edu/~jurafsky/slp3/http://cognet.mit.edu.silk.library.umass.edu/library/books/view?isbn=0262133601

  • Recommended additional reading:

    1. Jacob Eisenstein. Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series) The MIT Press (2019)

    2. Noah A. Smith. Linguistic Structure Prediction (Synthesis Lectures on Human Language Technologies), Morgan & Claypool Publishers; 1st edition (2011)

    3. Kevin P. Murphy. Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series). The MIT Press

    1st Edition; (2012)

    4. Emily M. Bender Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Semantics and Pragmatics (Synthesis Lectures on Human Language Technologies) ; Morgan & Claypool (2019)

    Planned learning activities and

    teaching methods

    Classroom lecturing, case study discussions and brainstorming, feedback

    and presentation sessions, discussion sessions, Software commands for

    Excel

    Language of instruction English

    Course contents:

    1. Introduction and Overview Welcome, motivations, what is Natural Language Processing, hands-on

    demonstrations. Ambiguity and uncertainty in language. The Turing test.

    Course outline and logistics. Questionnaire.

    [1,2] Ch 1

    2. Regular Expressions Chomsky hierarchy, regular languages, and their limitations. Finite-state

    automata. Practical regular expressions for finding and counting language

    phenomena. A little morphology. In class demonstrations of exploring a

    large corpus with regex tools.

    Assignment: Install Python. HW#1

    [1] Ch 2

    3. Programming in Python An introduction to programming in Python. Why Python? Variables,

    numbers, strings, arrays, dictionaries, conditionals, iteration. The NLTK

    (Natural Language Toolkit), with demonstrations.

    Refer to online

    programming

    resources, and

    Learning

    Python

    4. String Edit Distance and Alignment Key algorithmic tool: dynamic programming, first a simple example, then its

    use in optimal alignment of sequences. String edit operations, edit distance,

    and examples of use in spelling correction, and machine translation.

    Assignment: HW#1; HW#2

    [1] Ch 3.11

    5. Information Theory What is information? Measuring it in bits. The "noisy channel model." The

    "Shannon game"--motivated by language! Entropy, cross-entropy,

    information gain. Its application to some language phenomena.

    Assignment: HW#3

    [1] Ch 4.10-

    4.11

    .

    6. Language modeling and Naive Bayes Probabilistic language modeling and its applications. Markov models. N-

    grams. Estimating the probability of a word, and smoothing. Generative

    models of language. Their application to building an automatically-trained

    email spam filter, and automatically determining the language (English,

    [1] Ch 4.1-4.9

    https://www.amazon.com/Noah-A-Smith/e/B07GCFMP3W/ref=dp_byline_cont_book_1https://www.amazon.com/Kevin-P-Murphy/e/B008BK2WKW/ref=dp_byline_cont_book_1https://www.amazon.com/s/ref=dp_byline_sr_book_1?ie=UTF8&field-author=Emily+M.+Bender&text=Emily+M.+Bender&sort=relevancerank&search-alias=books

  • French, German, Dutch, Finnish, Klingon?).

    Assignment: HW#4 Choice: Building a spam filter, or language id

    7. Probabilistic Context Free Grammars Weighted context free grammars. Weighted CYK. Pruning and beam search.

    [1] Ch 12

    8. MİDTERM EXAM

    9. Maximum Entropy Classifiers The maximum entropy principle, and its relation to maximum likelihood.

    The need in NLP to integrate many pieces of weak evidence. Maximum

    entropy classifiers and their application to document classification, sentence

    segmentation, and other language tasks.

    [1] Ch 6.6-6.7

    10. Machine Translation Probabilistic models for translating French into English. Alignment,

    translation, language generation. IBM Model #1.

    IBM Model #2, and Expectation Maximization. MT evaluation.

    [1] Ch 24

    11. Lexical Semantics [1] Ch 24, Section 1

    12. Unsupervised Language Discovery Automatically discovering verb sub-categorization.

    13. Topic Models and Language in Social Networks Topic models. Language modeling integrated into social network analysis.

    14. Pragmatics [1] Ch 21.3 .

    15. Information Extraction & Reference Resolution Building a database of person & company relations from 10 years of New

    York Times. Building a database of job openings from 70k company Web

    pages. Various methods, including HMMs. Models of anaphora resolution.

    Machine learning methods for co-reference.

    [1] Ch 22

    FINAL EXAM

    Activities Number Duration (hour) Total Workload

    (hour)

  • Course duration in class 14 3 42

    Preparation for Midterm Exam 1 18 18

    Individual or Group Work 14 5 70

    Midterm Exam 1 3 3

    Paper/Project (including preparation and

    presentation) 1 13

    13

    Homework 3 4 12

    Preparation for the Final Exam 1 20 20

    Final Exam 1 3 3

    Total Workload 181

    Total Workload/30(h) 6.03

    ECTS Credit of the Course 6

  • AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY

    BA PROGRAMS

    SYLLABUS

    Course unit title FUZZY LOGIC AND CONTROL SYSTEMS

    Course unit code FSL 3101

    Type of course unit Elective

    Level of course unit First cycle Bachelor

    Year of study 1st- 2nd years

    Semester when the course

    unit is delivered

    2nd-3rd semester

    Number of ECTS credits

    allocated

    7

    Name of lecturer Rafig Aliyev

    Class information

    Location:

    Time:

    Contact: [email protected]

    Office hours: upon appointment

    Learning outcomes of the

    course unit

    Course Description

    This course presents some fundamental knowledge of fuzzy sets, fuzzy logic, fuzzy

    decision making and fuzzy control systems. The aim is to equip graduate students

    with some state-of-the-art fuzzy-logic technology and fuzzy system design

    methodologies, thereby better preparing them for the rapidly evolving high-tech

    information-based financial market and modern industry.

    Learning Outcomes

    On successful completion of this course, students will b able to :

    understand basic knowledge of fuzzy sets and fuzzy logic;

    apply basic knowledge of fuzzy information representation and processing;

    apply basic fuzzy inference and approximate reasoning;

    understand the basic notion of fuzzy rule base;

    apply basic fuzzy system modeling methods;

    apply basic fuzzy PID control systems;

    understand the basic notion of computational verb controllers.

    Mode of delivery Face-to-face

    Prerequisites and co-

    requisites

    None

    Recommended optional

    programme components

    Recommended or required

    reading

    1.Lotfi Zadeh and Rafik A.Aliev Fuzzy Logic Theory and Applications, World

    Scientific Press , 2019

    2.Negnevitsky, Michael , Artificial Intelligence: A Guide to Intelligent Systems

    (1st Edition). Harlow:Pearson Education Ltd, 2002

    mailto:[email protected]

  • 3.Kruse, Rudolf., Gebhardt, J., and Klawonn, F. Foundations of Fuzzy Systems.

    New York: John Wiley and Sons. 1994

    Planned learning activities

    and teaching methods

    Classroom lecturing, case study discussions and brainstorming, feedback and

    presentation sessions, discussion sessions, Software commands for Excel

    Language of instruction English

    Course contents:

    1 Introduction to fuzzy sets

    The uncertain and inexact nature of the real world: ideas and examples;

    fuzzy membership functions; fuzzy numbers and fuzzy arithmetic

    Operations on Fuzzy sets and fuzzy numbers

    [1] Ch 1

    [3] Ch 2

    2

    Introduction to fuzzy logic

    Basic concept and properties of fuzzy logic versus classical two-valued logic

    Logic operations

    [1] Ch 2

    3 Fuzzy inference

    Fuzzy inference principles; fuzzy decision making; approximate reasoning

    Fuzzy TOPSIS +AHP

    [1] Ch 2

    4

    Fuzzy rule base

    If-Then rules; general format of fuzzy rule base; establishment of fuzzy rule base

    Mamdani inference

    [2] Ch 4

    5

    Fuzzy decision-making

    Multi-objective optimization, performance evaluation, decision-making

    Fuzzy Investment problem

    [1] Ch 13

    6 Fuzzy modeling

    Static fuzzy modeling; dynamic fuzzy modeling

    Zadeh’s “fast way” problem

    7 Extensions of Fuzzy sets

    Geometrical reasoning

    [1] Ch 1

    8 MİDTERM EXAM

    9 Extensions of Fuzzy sets

    Operations on intuitionistic fuzzy numbers

    [1] Ch 1

    10 Fuzzy Expert Systems

    ESPLAN

    [1] Ch 17

    [2] Ch 4

    11 Fuzzy Clustering

    FCM

    12 Control Systems

    Temperature control system

    [3] Ch 4

    13 Basic Fuzzy Control Principle

    Motor central in Matlab

    [3] Ch 4

    14 Fuzzy PID Controllers Design Methods and Applications

    Fuzzy control of pH reactor

    [3] Ch 4

    15 Computational Verb Controllers

    Online turning of a PID controller

    [3] Ch 4

    FINAL EXAM

  • Course Workload

    Activities Number Duration

    (hour)

    Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 18 18

    Individual or Group Work 14 6 84

    Midterm Exam 1 3 3

    Paper/Project (including preparation

    and presentation)

    Homework 10 4 40

    Preparation for the Final Exam 1 20 20

    Final Exam 1 3 3

    Total Workload 210

    Total Workload/30(h) 7

    ECTS Credit of the Course 7

  • AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY

    BA PROGRAMS / MSc

    SYLLABUS

    Course unit title Project Management & Organization

    Course unit code MGT 1101

    Type of course unit Elective

    Level of course unit Second cycle Master

    Year of study 1st year

    Semester when the course

    unit is delivered

    1st semester

    Number of ECTS credits

    allocated

    6

    Name of lecturer Rasul Hajiyev

    Class information

    Time: Wednesday

    Contact: [email protected]

    Office hours: Friday 18.30 -20.00

    Learning outcomes of the

    course unit

    Course Description

    This course provides a systematic and thorough introduction to all aspects

    of project management and organization. Projects are an increasingly

    important aspect of modern business, so we begin with the relation

    between projects and the strategic goals of the organization. We move on

    to discuss the technical, cultural, and interpersonal skills necessary too

    successfully manage projects from start to finish. The course emphasizes

    that project management is a professional discipline with its own tools,

    body of knowledge and skills. Concepts are reinforced by case studies

    covering a wide variety of project types and industries.

    The course covers both the managerial and technical skills required to

    plan projects, acquire the necessary resources, and lead project teams to

    successful completion. Topics include the strategic role of projects in

    contemporary organizations; dealing with stakeholders, such as

    customers, vendors, and subcontractors; organizational cultures; and the

    technical management tools (scope, WBS, network diagrams, estimating

    schedules and costs, risks, and earned value).

    Learning Objectives of the Course

    After the course the student should:

    Have a broad knowledge about, and be able to explain, discuss and analyse concepts of organization theory including organizational

    culture, organization structure, organization environment strategy

    and organization processes;

    Have a broad knowledge about, and be able to explain, discuss and use general models, methods and theories about the organization

    and management of diferent kinds of projects

    mailto:[email protected]

  • Be able to explain and discuss the role of projects in organizational context

    Mode of delivery Face-to-face

    Prerequisites and co-

    requisites

    None

    Recommended optional

    programme components

    NA

    Recommended or required

    reading

    The textbook

    1) Eric W. Larson and Clifford F. Gray “Project Management- the managerial process” published by Mc. Graw Hill Irwin

    (7th edition - 2018)

    Recommended readings:

    2) G. Johnson, R. Whittington, K. Scholes. “Exploring Corporate Strategy”, (11th edition, 2017)

    3) Making Things Happen: Mastering Project Management by Scott Berkun

    4) Jack R. Meredith and Samuel J. Mantel, Jr. “Project Management- A managerial approach” (7th edition - 2009) published by John

    Wiley and Sons.

    5) Arthur Thompson, A. J. Strickland, John Gamble “Crafting and

    Executing Strategy” ( 19th edition, 2014)

    This course requires active attention and participation. Course reading is

    composed of articles, as well as book chapters. Additional information

    will be distributed either electronically or delivered in printed forms. Additional information will be distributed either electronically or delivered in

    printed forms.

    Planned learning activities

    and teaching methods

    Classroom lecturing, assignment, discussion sessions, presentation.

    Language of instruction English

    Work placement NA

    Course contents:

    1 Introduction to Project Management Briefly describing the societal forces that have contributed to the need for project

    management

    Describing the lifecycle of a project in terms of the degree of project completion, required effort

    Describing the limitations of project management

    Chapter 1

    [1]

    (p.2-18)

    2 Defining the project

    Identify key elements of a project scope statement and understand why a complete scope statement is critical to project success.

    Understand why it is important to establish project priorities in terms of cost, time, and performance.

    Chapter 4

    [1]

    (p.100-

    127)

    (Practical

    http://www.amazon.com/s/ref=dp_byline_sr_book_1?ie=UTF8&text=Arthur+Thompson&search-alias=books&field-author=Arthur+Thompson&sort=relevancerankhttp://www.amazon.com/s/ref=dp_byline_sr_book_2?ie=UTF8&text=A.+J.+Strickland+III&search-alias=books&field-author=A.+J.+Strickland+III&sort=relevancerankhttp://www.amazon.com/s/ref=dp_byline_sr_book_3?ie=UTF8&text=John+Gamble&search-alias=books&field-author=John+Gamble&sort=relevancerank

  • Demonstrate the importance of a work breakdown structure (WBS) to the management of projects and how it serves as a data base for planning and control.

    Create responsibility matrices for small projects.

    Exercises

    or Case

    study)

    3 Project Management and Strategy

    Forms and motives of diversifications

    Understanding how to make appropriate choices between organic development, mergers and acquisitions and strategic alliances

    Analyze how resources and capabilities might provide sustainable competitive advantage on the basis of their Value, Rarity, Inimitability and Organizational support

    (VRIO).

    Diagnose resources and capabilities by means of VRIO analysis, value chain analysis, activity systems mapping, benchmarking and SWOT analysis.

    Chapter 3,

    [4]

    (p.62-95,

    96-130,

    208-240)

    4 Project Management and Strategy (cont.)

    Forms and motives of diversifications

    Understanding how to make appropriate choices between organic development, mergers and acquisitions and strategic alliances

    Analyze how resources and capabilities might provide sustainable competitive advantage on the basis of their Value, Rarity, Inimitability and Organizational support

    (VRIO).

    Diagnose resources and capabilities by means of VRIO analysis, value chain analysis, activity systems mapping, benchmarking and SWOT analysis.

    Chapter 8

    & 11

    [4]

    5 Organization Strategy and Project Selection

    Explain why it is important for project managers to understand their organization’s strategy.

    Identify the significant role projects contribute to the strategic direction of the organization.

    Understand the need for a project priority system.

    Apply financial and nonfinancial criteria to assess the value of projects.

    Understand how multi-criteria models can be used to select projects

    Chapter 2

    [1]

    6 Developing Project Plan

    Understand the linkage between WBS and the project network.

    Diagram a project network using AON methods.

    Calculate early, late, and slack activity times.

    Identify and understand the importance of managing the critical path.

    Distinguish free slack from total slack.

    Demonstrate understanding and application of lags in compressing projects or constraining the start or finish of an activity.

    Chapter 6

    [1]

    7 Managing Risk

    Describe the risk management process.

    Understand how to identify project risks.

    Assess the significance of different project risks.

    Describe the four different responses to managing risks.

    Understand the role contingency plans play in risk management process.

    Understand opportunity management and describe the four different approaches to responding to opportunities in a project.

    Understand how contingency funds and time buffers are used to manage risks on a project.

    Chapter 7

    [1]

  • 8 Midterm Exam

    9 Outsourcing: Managing Interorganizational Relations

    Understand the advantages and disadvantages of outsourcing project work.

    Describe the basic elements of a Request for Proposal (RFP).

    Identify best practices for outsourcing project work.

    Practice principled negotiation.

    Describe the met-expectations model of customer satisfaction and its implications for working with customers on projects.

    Chapter 12

    [1]

    10 Outsourcing: Managing Interorganizational Relations (cont.)

    Understand the advantages and disadvantages of outsourcing project work.

    Describe the basic elements of a Request for Proposal (RFP).

    Identify best practices for outsourcing project work.

    Practice principled negotiation.

    Describe the met-expectations model of customer satisfaction and its implications for working with customers on projects.

    Chapter 12

    [1]

    11 Scheduling Resources and Costs

    Understand the differences between time constrained and resource-constrained schedules.

    Identify different types of resource constraints.

    Describe how the smoothing approach is used on time-constrained projects.

    Describe how leveling approach is used for resource-constrained projects.

    Understand when and why splitting tasks should be avoided.

    Chapter 8

    [5]

    12 Reducing Project Duration

    Understand the different reasons for crashing a project.

    Identify the different options for crashing an activity when resources are not constrained.

    Identify the different options for crashing an activity when resources are constrained.

    Determine the optimum cost-time point in a project network.

    Chapter 9

    [1]

    (p.304-

    336)

    13 Being an Effective Project Manager

    Understand the difference between leading and managing a project.

    Understand the need to manage project stakeholders.

    Identify and apply different “influence currencies” to build positive relations with

    others.

    Understand the need for a highly interactive management style on projects.

    More effectively manage project expectations.

    Understand the importance of building trust and acting in an ethical manner while

    working on a project.

    Identify the qualities of an effective project manager

    Chapter 10

    [1]

    (p. 338-

    373)

    14 Progress and Performance Measurement and Evaluation.

    Identify the four steps for controlling a project.

    Utilize a tracking Gantt to monitor time performance.

    Chapter 13

    [3]

    (p.458-

    513)

  • Understand and appreciate the significance of earned value.

    Calculate and interpret cost and schedule variance.

    Calculate and interpret performance and percent indexes.

    15 An Introduction to Agile Project Management

    Recognize the conditions in which traditional project management versus agile

    project management should be used.

    Understand the value of incremental, iterative development for creating new products.

    Identify core Agile principles.

    Understand the basic methodology used in Scrum

    Recognize the limitations of Agile project management

    Chapter 16

    [4]

    (p.578-

    602)

    16. FINAL EXAM

    Student workload

    Activities Number Duration

    (hour)

    Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 20 20

    Individual or Group Work 14 5 70

    Midterm Exam 1 3 3

    Paper/Project (including preparation

    and presentation)

    Homework 10 3 30

    Preparation for the Final Exam 1 15 15

    Final Exam 1 3 3

    Total Workload 183

    Total Workload/30(h) 6.1

    ECTS Credit of the Course 6

  • AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY

    BA PROGRAMS / MSc

    SYLLABUS

    Course unit title HUMAN RESOURCES MANAGEMENT BEYOND BORDERS

    Course unit code MGS 8300

    Type of course unit Elective

    Level of course unit First Cycle Master

    Year of study 1st year

    Semester when the course

    unit is delivered

    1st semester

    Number of ECTS credits

    allocated

    7

    Name of lecturer Tofig Afandizada

    Class information

    Time: Tuesday 18:30 – 21:10

    Contact: [email protected]

    Office hours: upon appointment

    Learning outcomes of the

    course unit

    COURSE DESCRIPTION This course explores the management of human resources in an overview

    perspective. Topics covered are: payroll, compensation and benefits, staffing,

    training and development, performance appraisals, organizational

    management, policy, and maintaining effective relationships with employees.

    Students will be exposed to the dynamics of how the human resource

    department and the company strategically work together to balance employee

    morale and return on investment. Thought provoking questions will initiate a

    well-rounded learning experience of HRM and the effects on business

    operations.

    COURSE OBJECTIVES Understand human resource management and define human capital. Name the seven categories of HR functions and provide an overview of four challenges facing HR today. Summarize the organization’s strategic planning process and outline how HR’s strategies are merged with organizational strategies. Discuss how to forecast the supply and demand of Human Resources Identify how organizations can measure and analyze the effectiveness of HR management practices Discuss the legal protections to prevent bias and discrimination based on age, religion, national origin, and other factors Define job design and identify common approaches to job design. Discuss four different views of motivation at work. Describe different kinds of turnover and how turnover can be measured Define the difference between job satisfaction and engagement Explain strategic recruiting decisions regarding employment branding, outsourcing, and other related issues. Understand selection and placement and the levels of person/environment fit. Specify how legal con-cerns affect background investigations of appli-cants and use of medical examinations in the selection process. Define training and discuss why a strategic approach is important.

    mailto:[email protected]

  • Provide an example for each of the four levels of training evaluation. Explain the importance of succession planning and the steps involved in the process Identify why performance management is necessary Identify the three general components of total rewards and give examples of each Define a benefit and identify four strategic benefit considerations

    Mode of delivery Class room / Face-to-face

    Prerequisites and co-

    requisites

    No

    Recommended optional

    programme components

    NA

    Recommended or required

    reading

    REQUIRED TEXTBOOK Mathis, Jackson, and Valentine

    Human Resource Management, (15th Edition)

    Planned learning activities

    and teaching methods

    Classroom lecturing, assignment, discussion sessions, group exercises.

    Language of instruction English

    Work placement NA

    Course contents:

    1 HRM in Organizations [1]

    Chapter 1

    2 Human Resource Strategy and Planning

    [1]

    Chapter 2

    3 Equal Employment Opportunity [1]

    Chapter 3

    4 Workforce, Jobs, and Job Analysis

    [1]

    Chapter 4

    5 Individual/Org. Relations and Retention

    [1]

    Chapter 5

    6 Recruiting and Labor Markets [1]

    Chapter 6

    7 Selecting Human Resources [1]

    Chapter 7

    8 MIDTERM

  • 9 Training Human Resources

    [1]

    Chapter 8

    10 Talent, Careers, and Development [1]

    Chapter 9

    11 Performance Management and Appraisal [1]

    Chapter 10

    12 Total Rewards and Compensation

    [1]

    Chapter 11

    13 Variable Pay and Executive Compensation [1]

    Chapter 12

    14 Managing Employee Benefits [1]

    Chapter 13

    15 Preparation to Final Exam

    16 Final Exam

    Student workload

    Activities Number Duration

    (hour)

    Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 20 20

    Individual or Group Work 14 6 84

    Midterm Exam 1 3 3

    Homework 10 3 30

    Preparation for the Final Exam 1 3 30

    Final Exam 1 3 3

    Total Workload 212

    Total Workload/ 30 (h) 7.06

    ECTS Credit of the Course 7

  • AZERBAIJAN STATE OIL AND INDUSTRY UNIVERSITY

    BA PROGRAMS/ MSc

    Course unit title HUMAN RESOURCES MARKETING

    Course unit code MGS 2300

    Type of course unit Elective

    Level of course unit Second Cycle Master

    Year of study 1-2 years

    Semester when the course

    unit is delivered

    2nd – 3rd semesters

    Number of ECTS credits

    allocated

    7

    Name of lecturer Seymur M. GULIYEV

    Class information

    Time: 18:30-21:15, Monday and Friday

    Contact: [email protected]

    Office hours: Upon appointment

    Learning outcomes of the

    course unit

    Learning Outcomes

    Course Description

    This course expresses the importance of Marketing for Human Resources Management

    and explains how marketing techniques are used for HR purposes. HR and marketing

    are the functions of business and there is exact relationship between these functions.

    Marketing is not only applied to goods and services, but also marketing theories and

    approaches can be used for the implementation of Human Resources functions.

    Advertisement function of marketing is used by HR Hiring function to announce

    available vacancies to attract prospective candidates, branding function of marketing is

    used by employee for personal branding purposes and etc. Hence, marketing function is

    crucial for Human Resources Management processes, and this module will talk about

    mentioned issues.

    Learning Outcomes Upon completion of the course, students are able to identify the concepts and tools

    linked to human resource marketing. The course improves students’ ability to evaluate

    different HR market situations among industries and propose solutions to strategic staff

    decisions. Furthermore, students are able to explain strategy at different levels;

    corporation, SBU and functional. Students are able to apply concepts and tools of

    strategic HR marketing in global and local context that is, they understand the

    interdependency of HR and Marketing. In addition, students will demonstrate analytical

    thinking skills by applying different human resource marketing strategies in practice

    and solving real-life business problems in a case exercise guided by the problem based

    learning (PBL) method. Students will apply oral and written communication skills

    appropriate for business situations by working in small groups throughout the course,

    playing various roles of marketing professional, presenting their case exercise in written

    and oral form.

    Mode of delivery Face-to-face

    Prerequisites and co- MRKT 1101, MRKT 2301

  • requisites

    Recommended optional

    programme components

    NA

    Recommended or required

    reading

    1. Patricia M Nazemetz “HR and Marketing: POWER PARTNERS: the

    competitive advantage that will transform your business and establish a culture

    of performance Paperback” Versant – 2012

    Optional Readings:

    2. Strategic Marketing Management 7th ed. Edition, Alexand Chernev,

    Cerebellum Press,2012

    3. https://www.amazon.com/Marketing-competitive-advantage-transform-

    performance/dp/0985605308)

    Additional information will be distributed either electronically or delivered in printed

    forms.

    Planned learning activities

    and teaching methods

    Classroom lecturing, assignment, discussion sessions, presentation.

    Language of instruction English

    Work placement NA

    Course contents:

    1 Kick off, semester program Page

    2

    Fundamentals of HR management and Marketing Personal handout

    3 Internal and Externals Relationships to Stakeholders in the Value Net Personal handout

    4

    Branding a destination employer

    Case study: Holistic approach in marketing [1]

    Cp 5

    pp (74-82)

    5 Evaluating the impact of Employer brand

    Workshop: Employees of Apple as a brand [1]

    Cp 4

    pp (54-61)

    6 Human capability as a Product & Service Personal handout

    7 Looking at talent from the startup perspective

    Case study: McDonalds Azerbaijan and its talent program [1]

    Cp 5

    pp (79-88)

    8 MIDTERM

    https://www.amazon.com/Marketing-competitive-advantage-transform-performance/dp/0985605308https://www.amazon.com/Marketing-competitive-advantage-transform-performance/dp/0985605308

  • 9 Partnership with marketing

    Workshop: HR and Marketing relationship [1]

    Cp 5

    pp (88-96)

    10 Vacancy advertisements in Mas media and digital media

    Case Study: Social media and vacancy advertisement Personal handout

    11 Marketing to employees [1]

    Cp 13

    pp (171-177)

    12 Leveraging talent as a competitive advantage [1]

    Cp 13

    pp (177-186)

    13 Leading the digital transformation

    Case study: Google and its HR formula [1]

    Cp 14

    pp (194-203)

    14 Personal Branding an rebranding strategies, Connecting next generation leaders [1]

    Cp 12

    pp (163-171)

    15 Wrap up and finalizing the course -

    16 Final Exam

    Student workload

    Activities Number Duration

    (hour)

    Total Workload

    (hour)

    Course duration in class 14 3 42

    Preparation for Midterm Exam 1 25 25

    Individual or Group Work 14 4 56

    Midterm Exam 1 3 3

    Homework 10 5 50

    Preparation for the Final Exam 1 35 35

    Final Exam 1 3 3

    Total Workload 214

    Total Workload/30(h) 7

    ECTS Credit of the Course 7.13

  • Azerbaijan State Oil and Industry University

    BA Programs

    Course unit title Procurement, Production & Logistics Management

    Course unit code MGT 1102

    Type of course unit Compulsory

    Level of course unit 2nd cycle master

    Year of study 1st year

    Semester/trimester

    when the course unit

    is delivered

    2nd

    semester

    Number of ECTS

    credits allocated

    6

    Name of lecturer Fuad Bagirov

    Class information Location: Room: 2 Office hours: Upon appointment

    Time: Tuesday, Friday

    Contact: [email protected]

  • Learning outcomes

    of the course unit

    Course description:

    This market-leading cource explores modern procurement,

    production, logistics from a managerial perspective characterized

    by geopolitical tensions in various parts of the world, steadily

    increasing trade among countries and across continents, supply

    chain vulnerabilities caused by severe natural disasters, and an

    unabated pace of technological advancement. In it, readers see

    theory come to life through the authors’ timely, practical, thorough, and exciting coverage of the fundamentals of logistics

    in today’s dynamic global landscape. Learning Outcomes of the Course:

    • Decision-making skills, as they are responsible for making important contract, production, inventory and

    transportation decisions.

    • Cost-benefit analysis skills to maximise their procurement budgets to best effect.

    • Organisational skills, the ability to communicate at all levels and a head for figures.

    • Communication skills. It’s all about coordinating the different links in the chain.

    • Keep your Course Current with Today’s Pressing Global Issues: Students are brought up to date on today’s pressing global issues through the revisions, new examples, current references, and addition

    of new content throughout.

  • role in practice.

    Mode of delivery Face-to-face

    Prerequisites and

    co-requisites

    Recommended

    optional programme

    components

    Basic Engineering Mechanics skills

    Recommended or

    required readings

    Required readings:

    1. Paul R. Murphy, John Carroll, Contemporary Logi