ECTS - Calculus for Management and Economics Students
Calculus for Management and Economics Students (MATH102) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Calculus for Management and Economics Students | MATH102 | Diğer Bölümlere Verilen Ders | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| (MATH101 veya MATH103) |
| 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. 448-457, 458-465 |
| 2 | Continuity, The Derivative | pp. 466-471, 481-488 |
| 3 | Rules for Differentiation, Differentiability and Continuity, Product and Quotient Rule | pp. 489-496, 506-514 |
| 4 | The Chain Rule and the Power Rule, Derivatives of Logarithmic Functions, Derivatives of Exponential Functions | pp. 515-522, 529-533, 534-538 |
| 5 | Implicit Differentiation, Logarithmic Differentiation, Higher Order Derivatives | pp. 544-548, 549-552, 557-559 |
| 6 | Relative Extrema, Absolute Extrema on a Closed Interval | pp. 567-577, 578-579 |
| 7 | Concavity , The Second Derivative Test | pp. 580-586, 587-588 |
| 8 | Asymptotes, Applied Maxima and Minima | pp. 589-598, 599-610 |
| 9 | Indefinite Integrals, Integration with Initial Conditions, More Integration Formulas | pp. 623-628, 629-632, 633-639 |
| 10 | Techniques of Integration, The Definite Integral, The Fundamental Theorem of Calculus | pp. 640-644, 645-650, 651-658 |
| 11 | Area, Area Between Curves | pp. 664-667, 668-674 |
| 12 | Integration by Parts, Functions of Several Variables | pp. 685-688, 745-749 |
| 13 | Partial Derivatives, Higher-Order Partial Derivatives | pp. 750-754, 763-765 |
| 14 | Maxima and Minima for Functions of Two Variables, Lagrange Multipliers | pp. 769-777, 778-784 |
| 15 | Review | |
| 16 | Final Exam |
Sources
| Course Book | 1. Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, 11th Edition; 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 | Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. | |||||
| 2 | Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. | |||||
| 3 | Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. | |||||
| 4 | Acquires analytical thinking and uses time effectively in the process of deduction | |||||
| 5 | Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. | |||||
| 6 | Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. | |||||
| 7 | Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. | |||||
| 8 | Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. | |||||
| 9 | Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. | |||||
| 10 | Has the ability to communicate ideas with peers supported by qualitative and quantitative data. | |||||
| 11 | Has professional and 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 | |||
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 57 | ||