ECTS - Calculus for Management and Economics Students (Turkish)
Calculus for Management and Economics Students (Turkish) (MATH106) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Calculus for Management and Economics Students (Turkish) | MATH106 | Diğer Bölümlere Verilen Ders | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| MATH105 |
| Course Language | English |
|---|---|
| Course Type | Service Courses Given to Other Departments |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Question and Answer, Team/Group. |
| Course Lecturer(s) |
|
| Course Objectives | This course is intended to give skills in differential and integral calculus of one variable and differential calculus of several variables with a variety of examples that highlight the direct application of calculus to the economic, social and managerial sciences. |
| Course Learning Outcomes |
The students who succeeded in this course; |
| Course Content | Limits and continuity, derivative, applications of derivative, integration, applications of integral, functions of several variables, partial derivatives, extrema of functions of several variables. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Limits | pp. 496-505, 507-513 |
| 2 | Continuity, The Derivative | pp. 520-525, 537-543 |
| 3 | Rules for Differentiation, Differentiability and Continuity, Product and Quotient Rule | pp. 545-551, 563-572 |
| 4 | The Chain Rule and the Power Rule, Derivatives of Logarithmic Functions, Derivatives of Exponential Functions | pp. 575-581, 591-594, 596-600 |
| 5 | Implicit Differentiation, Logarithmic Differentiation, Higher Order Derivatives | pp. 608-612, 614-616, 623-626 |
| 6 | Relative Extrema, Absolute Extrema on a Closed Interval | pp. 633-640, 644-646 |
| 7 | Asymptotes, Applied Maxima and Minima | pp. 657-663, 665-673 |
| 8 | Midterm | |
| 9 | Concavity , The Second Derivative Test | pp. 647-651, 654-656 |
| 10 | Asymptotes, Applied Maxima and Minima | pp. 657-663, 665-673 |
| 11 | Indefinite Integrals, Integration with Initial Conditions, More Integration Formulas | pp. 692-698, 699-702, 704-709 |
| 12 | Techniques of Integration, The Definite Integral, The Fundamental Theorem of Calculus | pp. 712-715, 720-726, 728-734 |
| 13 | Area, Area Between Curves | pp. 744-746, 748-752 |
| 14 | Integration by Parts, Functions of Several Variables | pp. 767-770, 835-839 |
| 15 | Partial Derivatives, Higher-Order Partial Derivatives | pp. 841-745, 856-858 |
| 16 | Maxima and Minima for Functions of Two Variables, Lagrange Multipliers | pp. 863-870, 873-878 |
| 17 | Review |
Sources
| Course Book | 1. Temel Matematiksel Analiz, İşletmei İktisat, Yaşam Bilimleri ve Sosyal Bilimler için, 11. Baskı; E. F. Haeussler, Jr./ R. S. Paul, Prentice-Hall International Inc. |
|---|---|
| Other Sources | 2. Calculus for Business, Economics, and Social Sciences, 9th Edition; R. A. Barnett / M. R. Ziegler / K. E. Byleen, Prentice-Hall |
| 3. Calculus: A complete Course, R. A. Adams, 3rd Edition; Addison Wesley | |
| 4. Calculus with Analytic Geometry, C. H. Edwards; Prentice Hall |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 4 | 10 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 50 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 7 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Has the ability to apply scientific knowledge gained in the undergraduate education and to expand and extend knowledge in the same or in a different area | |||||
| 2 | Can apply gained knowledge and problem solving abilities in inter-disciplinary research | |||||
| 3 | Has the ability to work independently within research area, to state the problem, to develop solution techniques, to solve the problem, to evaluate the obtained results and to apply them when necessary | |||||
| 4 | Takes responsibility individually and as a team member to improve systematic approaches to produce solutions in unexpected complicated situations related to the area of study | |||||
| 5 | Can develop strategies, implement plans and principles on the area of study and can evaluate obtained results within the framework | |||||
| 6 | Can develop and extend the knowledge in the area and to use them with scientific, social and ethical responsibility | |||||
| 7 | Has the ability to follow recent developments within the area of research, to support research with scientific arguments and data, to communicate the information on the area of expertise in a systematically by means of written report and oral/visual presentation | |||||
| 8 | To have an oral and written communication ability in at least one of the common foreign languages ("European Language Portfolio Global Scale", Level B2) | |||||
| 9 | Has software and hardware knowledge in the area of expertise, and has proficient information and communication technology knowledge | |||||
| 10 | Follows scientific, cultural, and ethical criteria in collecting, interpreting and announcing data in the research area and has the ability to teach. | |||||
| 11 | Has professional ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | |||
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 10 | 20 |
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 77 | ||