Faculty Of Economıc, Admınıstratıve And Socıal Scıences
Busıness Admınıstratıon ( Englısh )
Course Information
| NUMERICAL METHODS | |||||
|---|---|---|---|---|---|
| Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
| Hour / Week | |||||
| MAN306 | Spring | 3 | 0 | 3 | 5 |
| Prerequisites and co-requisites | None |
|---|---|
| Language of instruction | English |
| Type | Required |
| Level of Course | Bachelor's |
| Lecturer | Assist.Prof.Dr. Ayhan DEMİRCİ |
| Mode of Delivery | Face to Face |
| Suggested Subject | None |
| Professional practise ( internship ) | None |
| Objectives of the Course | To provide an introduction to some concepts of probability theory and statistics, and also decision theory and multi criteria decision making with applications of enterprises problems. |
| Contents of the Course | Permutations, Combinatins, Probability, Discrete and Continuous random variables with their probability distributions and expectations, Samping distributions. |
Learning Outcomes of Course
| # | Learning Outcomes |
|---|---|
| 1 | will be able to define knowledge about sets. |
| 2 | will be able to define knowledge about probability theory. |
| 3 | will be able to apply probability distributions. |
| 4 | will be able to define decision theory and utility. |
| 5 | will be able to define linear programming models. |
| 6 | will be able to define data envelopment analysis. |
| 7 | will be able to define analytical hierarchic prosess. |
| 8 | will be able to define basics of project management. |
Course Syllabus
| # | Subjects | Teaching Methods and Technics |
|---|---|---|
| 1 | Sets and Probability Theory | Lecturing, Discussion |
| 2 | Sets and Probability Theory | Lecturing, Discussion |
| 3 | Probability Theory - Binomial Probability Distribution | Lecturing, Problem Solving |
| 4 | Probability Theory - Poisson Probability Distribution | Lecturing, Problem Solving |
| 5 | Probability Theory - Hypergeometric Probability Distribution | Lecturing, Problem Solving |
| 6 | Probability Theory - Geometric Probability Distribution | Lecturing, Problem Solving |
| 7 | Probability Theory - Normal Distribution | Lecturing, Problem Solving |
| 8 | Mid-Term Exam. | Written exam |
| 9 | Decision Theory and Utilty | Lecturing, Problem Solving |
| 10 | Linear Programing | Lecturing, Problem Solving |
| 11 | Linear Programing | Lecturing, Problem Solving |
| 12 | Data Envelopment Analysis | Lecturing, Problem Solving |
| 13 | Analytical Hierarchy Prosess | Lecturing, Problem Solving |
| 14 | Project Management | Lecturing, Problem Solving |
| 15 | General Evaluation | Lecturing, Problem Solving |
| 16 | Final Exam | Written exam |
Course Syllabus
| # | Material / Resources | Information About Resources | Reference / Recommended Resources |
|---|---|---|---|
| 1 | Basic Statistics for Business and Economics | Earl K.Bowen Martin K.Starr | Reference Textbook |
| 2 | Introduction to Statistics | David R.Anderson Dennis J. Sweeney | Suggested Textbook |
| 3 | Elementary Statistics | Allan G.Bluman | Suggested Textbook |
Method of Assessment
| # | Weight | Work Type | Work Title |
|---|---|---|---|
| 1 | 40% | Mid-Term Exam | Mid-Term Exam |
| 2 | 60% | Final Exam | Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
| # | Learning Outcomes | Program Outcomes | Method of Assessment |
|---|---|---|---|
| 1 | will be able to define knowledge about sets. | 3͵4͵7 | 1͵2 |
| 2 | will be able to define knowledge about probability theory. | 3͵4͵7 | 1͵2 |
| 3 | will be able to apply probability distributions. | 3͵4͵7 | 1͵2 |
| 4 | will be able to define decision theory and utility. | 3͵4͵7 | 1͵2 |
| 5 | will be able to define linear programming models. | 3͵4͵7 | 1͵2 |
| 6 | will be able to define data envelopment analysis. | 3͵4͵7 | 1͵2 |
| 7 | will be able to define analytical hierarchic prosess. | 3͵4͵7 | 1͵2 |
| 8 | will be able to define basics of project management. | 3͵4͵7 | 1͵2 |
Work Load Details
| # | Type of Work | Quantity | Time (Hour) | Work Load |
|---|---|---|---|---|
| 1 | Course Duration | 14 | 3 | 42 |
| 2 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 3 | 42 |
| 3 | Presentation and Seminar Preparation | 0 | 0 | 0 |
| 4 | Web Research, Library and Archival Work | 0 | 0 | 0 |
| 5 | Document/Information Listing | 0 | 0 | 0 |
| 6 | Workshop | 0 | 0 | 0 |
| 7 | Preparation for Midterm Exam | 1 | 16 | 16 |
| 8 | Midterm Exam | 1 | 2 | 2 |
| 9 | Quiz | 0 | 0 | 0 |
| 10 | Homework | 2 | 9 | 18 |
| 11 | Midterm Project | 0 | 0 | 0 |
| 12 | Midterm Exercise | 0 | 0 | 0 |
| 13 | Final Project | 0 | 0 | 0 |
| 14 | Final Exercise | 0 | 0 | 0 |
| 15 | Preparation for Final Exam | 1 | 27 | 27 |
| 16 | Final Exam | 1 | 3 | 3 |
| 150 | ||||