COURSE SYLLABUS
ANALYSIS OF INVEST MENST PROJECTS
1 |
Course Title: |
ANALYSIS OF INVEST MENST PROJECTS |
2 |
Course Code: |
IKT4106 |
3 |
Type of Course: |
Optional |
4 |
Level of Course: |
First Cycle |
5 |
Year of Study: |
4 |
6 |
Semester: |
8 |
7 |
ECTS Credits Allocated: |
5 |
8 |
Theoretical (hour/week): |
3 |
9 |
Practice (hour/week) : |
0 |
10 |
Laboratory (hour/week) : |
0 |
11 |
Prerequisites: |
None |
12 |
Recommended optional programme components: |
None |
13 |
Language: |
Turkish |
14 |
Mode of Delivery: |
Face to face |
15 |
Course Coordinator: |
Doç.Dr. Adem Anbar |
16 |
Course Lecturers: |
Doç. Dr. Adem ANBAR |
17 |
Contactinformation of the Course Coordinator: |
lale@uludag.edu.tr |
18 |
Website: |
|
19 |
Objective of the Course: |
To improve students’ ability of application on scientific analysis and numerical methods related to investment project valuation. |
20 |
Contribution of the Course to Professional Development |
|
21 |
Learning Outcomes: |
1 |
To be able to perform the economical, technical and financial analysis related to feasibilty study.;
|
2 |
To be able to make project valuation under certainity and uncertainity and in inflationary environment.;
|
3 |
To be able to calculate and interpret the risks while making investment decisions. ;
|
4 |
To be able to evaluate the pros and cons of the investment after the feasibility study and to have foresight while making investment decisions.;
|
5 |
To be able to introduce the most appropriate project for the enterprise among the alternative projects. ;
|
6 |
To be able to apply the current financial techniques.;
|
|
Week |
Theoretical |
Practical |
1 |
Basic Concepts and Classification of Investment Projects |
|
2 |
Feasibility Study Preparation: Economical Study |
|
3 |
Feasibility Study Preparation: Technical and Financial Study |
|
4 |
Time Value of Money |
|
5 |
Basic Inputs Related to Investment Projects Valuation |
|
6 |
Project Valuation Methods Under Certainity: Net Present Value Method |
|
7 |
Project Valuation Methods Under Certainity: Internal Rate of Return Method |
|
8 |
Project Valuation Methods Under Certainity: Other Methods |
|
9 |
Uncertainity, Risk and Risk Calculation |
|
10 |
Methods of Risk Identification in Investment Projects |
|
11 |
Project Valuation Methods Under Uncertainity |
|
12 |
Project Valuation Methods Under Uncertainity |
|
13 |
Using Real Option Approach to Project Valuation |
|
14 |
Project Valuation in Inflationary Environment |
|
23 |
Textbooks, References and/or Other Materials: |
1. Yatırım Projeleri Analizi, Adem ANBAR – Değer ALPER 2. Yatırım Projeleri Analizi ve Yönetimi, Zekai Yılmaz. 3. Economic Analysis of Investment Projects, Kedar N. Kohli |
24 |
Assesment |
|
TERM LEARNING ACTIVITIES |
NUMBER |
PERCENT |
Midterm Exam |
1 |
40 |
Quiz |
0 |
0 |
Homeworks, Performances |
0 |
0 |
Final Exam |
1 |
60 |
Total |
2 |
100 |
Contribution of Term (Year) Learning Activities to Success Grade |
40 |
Contribution of Final Exam to Success Grade |
60 |
Total |
100 |
Measurement and Evaluation Techniques Used in the Course |
|
Information |
|
25 |
|
ECTS / WORK LOAD TABLE |
Activites |
NUMBER |
TIME [Hour] |
Total WorkLoad [Hour] |
Theoretical |
14 |
3 |
42 |
Practicals/Labs |
0 |
0 |
0 |
Self Study and Preparation |
14 |
4 |
56 |
Homeworks, Performances |
0 |
0 |
0 |
Projects |
0 |
0 |
0 |
Field Studies |
0 |
0 |
0 |
Midtermexams |
1 |
26 |
26 |
Others |
0 |
0 |
0 |
Final Exams |
1 |
26 |
26 |
Total WorkLoad |
|
|
176 |
Total workload/ 30 hr |
|
|
5 |
ECTS Credit of the Course |
|
|
5 |
26 |
CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS |
|
PQ1
|
PQ2
|
PQ3
|
PQ4
|
PQ5
|
PQ6
|
PQ7
|
PQ8
|
PQ9
|
PQ10
|
PQ11
|
PQ12
|
LO1
|
0
|
0
|
0
|
0
|
0
|
3
|
0
|
0
|
4
|
3
|
4
|
0
|
LO2
|
0
|
0
|
0
|
0
|
0
|
3
|
0
|
0
|
4
|
3
|
4
|
0
|
LO3
|
0
|
0
|
0
|
0
|
0
|
3
|
0
|
0
|
4
|
3
|
4
|
0
|
LO4
|
0
|
0
|
0
|
0
|
0
|
3
|
0
|
0
|
4
|
3
|
4
|
0
|
LO5
|
0
|
0
|
0
|
0
|
0
|
3
|
0
|
0
|
4
|
3
|
4
|
0
|
LO6
|
0
|
0
|
0
|
0
|
0
|
3
|
0
|
0
|
4
|
3
|
4
|
0
|
|
LO: Learning Objectives |
PQ: Program Qualifications |
Contribution Level: |
1 Very Low |
2 Low |
3 Medium |
4 High |
5 Very High |