Industrial Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Industrial Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 15271760 | Investment Projects Analysis | 2025 | Autumn | 7 | 3+0+0 | 0 | 5 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | Prof. Murat DARÇIN |
| Instructor(s) | Asst. Prof. Şule ERYÜRÜK |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Şule ERYÜRÜK | A-306 | [email protected] | 7537 |
Course Content
Fundamental and Technical Analysis, Financial Analysis Methods, Approaches to Project Valuation Under Certainty and Risk, Decision Tree, Simulation, Monte Carlo Method Applications, Option Pricing Models
Objectives of the Course
The aim of this course is; The aim of this course is to give basic information about the construction, preparation and evaluation of investment projects both in a toeic and practical manner.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Knowledge of mathematics, natural sciences, fundamental engineering, computational sciences, and industrial engineering-specific subjects; the ability to apply this knowledge to solve complex industrial engineering problems. | 5 |
| P2 | The ability to define, formulate, and analyze complex industrial engineering problems using fundamental science, mathematics, and engineering knowledge, while keeping in mind the relevant UN Sustainable Development Goals. | 5 |
| P4 | The ability to select and utilize appropriate techniques, resources, and modern engineering and information tools, including estimation and modeling, for the analysis and solution of complex industrial engineering problems, while being aware of their limitations. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Acquire general knowledge of investment project analysis. | P.1.54 | 1 |
| O2 | Learn investment project valuation methods under certainty and uncertainty. | P.1.55 | 1 |
| O3 | Learn and apply risk measurement and valuation methods. | P.1.56 | 1 |
| O4 | Demonstrate knowledge of investment strategies. | P.1.57 | 1 |
| O5 | Explain the critical factors influencing investment decisions. | P.1.58 | 1 |
| O6 | Acquire general knowledge of investment project analysis. | P.2.81 | 1 |
| O7 | Learn investment project valuation methods under certainty and uncertainty. | P.2.82 | 1 |
| O8 | Learn and apply risk measurement and valuation methods. | P.2.83 | 1 |
| O9 | Demonstrate knowledge of investment strategies. | P.2.84 | 1 |
| O10 | Explain the critical factors influencing investment decisions. | P.2.85 | 1 |
| O11 | Learn investment project valuation methods under certainty and uncertainty. | P.4.32 | 1 |
| O12 | Learn and apply risk measurement and valuation methods. | P.4.33 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Basic concepts |
| 2 | Classification of Investment Projects |
| 3 | Technical and Basic Analysis Methods |
| 4 | Reduced Cash Flows Method |
| 5 | Cash Flow Method |
| 6 | Nakit Akımları Yöntemi |
| 7 | Techniques Used in Project Control |
| 8 | Ara Sınav |
| 9 | Project Appraisal in Risk Environment |
| 10 | Monte Carlo, Simulation, Decision Tree Applications |
| 11 | Option Pricing Models |
| 12 | Sample Project Evaluation Studies |
| 13 | Sample Project Evaluation Studies |
| 14 | Örnek Proje Değerleme Çalışmaları |
| 15 | Final Sınavına Hazırlık |
Textbook or Material
| Resources | OKKA, O., ""Proje Yönetimi ve Mühendislik Ekonomisi"", KTO Karatay Üniversitesi Yayınları, Konya, 2017. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 3 | 42 |
| Midterms | 1 | 30 | 30 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 36 | 36 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 150 | ||
| Total Work Load / 30 | 5 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 | P4 |
|---|---|---|---|---|
| O1 | Acquire general knowledge of investment project analysis. | 5 | - | - |
| O2 | Learn investment project valuation methods under certainty and uncertainty. | 5 | - | - |
| O3 | Learn and apply risk measurement and valuation methods. | 5 | - | - |
| O4 | Demonstrate knowledge of investment strategies. | 5 | - | - |
| O5 | Explain the critical factors influencing investment decisions. | 5 | - | - |
| O6 | Acquire general knowledge of investment project analysis. | - | 5 | - |
| O7 | Learn investment project valuation methods under certainty and uncertainty. | - | 5 | - |
| O8 | Learn and apply risk measurement and valuation methods. | - | 5 | - |
| O9 | Demonstrate knowledge of investment strategies. | - | 5 | - |
| O10 | Explain the critical factors influencing investment decisions. | - | 5 | - |
| O11 | Learn investment project valuation methods under certainty and uncertainty. | - | - | 5 |
| O12 | Learn and apply risk measurement and valuation methods. | - | - | 5 |