| School/Faculty/Institute | Faculty of Economics, Administrative and Social Sciences | ||||
| Course Code | MATH 104 | ||||
| Course Title in English | Mathematics for Social Sciences II | ||||
| Course Title in Turkish | Sosyal Bilimler için Matematik II | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Introductory | ||||
| Semester | Spring | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 135 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
MATH 103 - Mathematics for Social Sciences |
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| Co-requisites | None | ||||
| Expected Prior Knowledge | Knowledge of basic mathematical concepts and tools | ||||
| Registration Restrictions | Only undergraduate students | ||||
| Overall Educational Objective | Develop mathematical tools and techniques that enhance students' ability to analyze and solve economic problems | ||||
| Course Description | This course provides an introduction to calculus with an emphasis on applications in economics and business. Topics include differentiation, integration, functions of multiple variables, comparative statics, and optimization techniques. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Compute definite and indefinite integrals, apply integration techniques, and use integral calculus to analyze economic problems such as consumer and producer surplus; 2) Differentiate functions of multiple variables, compute partial derivatives, and apply these concepts to comparative statics and elasticity analysis in economics 3) Apply differentiation of integrals, and linear approximations to analyze small changes in models 4) Solve unconstrained optimization problems using first- and second-order conditions and apply these methods to economic decision-making 5) Use Lagrange multipliers to solve optimization problems |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | |||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | |||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | |||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | |||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | |||||
| 6) Internalization and dissemination of professional ethical standards. | |||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | |||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | |||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | |||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | |||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | |||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | |||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | DİLA ASFUROĞLU , November 2023 |
| Course Coordinator | MUHAMMED ABDULLAH ALTUNDAL |
| Semester | Spring |
| Name of Instructor | Asst. Prof. Dr. DİLA ASFUROĞLU |
| Week | Subject |
| 1) | Introductory Topics |
| 2) | Introductory Topics |
| 3) | Integration |
| 4) | Integration |
| 5) | Integration |
| 6) | Functions of Many Variables |
| 7) | Functions of Many Variables |
| 8) | Review |
| 9) | Tools for Comparative Statics |
| 10) | Multivariable Optimization |
| 11) | Multivariable Optimization |
| 12) | Constrained Optimization |
| 13) | Constrained Optimization |
| 14) | Review |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Essential Mathematics for Economic Analysis, 4th Edition by Knut Sydsaeter, Peter Hammond and Arne Strom, Published by Pearson, 2012. | |||||||||||||||
| Teaching Methods | Lectures (Flipped Classroom) | |||||||||||||||
| Homework and Projects | None | |||||||||||||||
| Laboratory Work | None | |||||||||||||||
| Computer Use | None | |||||||||||||||
| Other Activities | Participation, midterm exams and final exam | |||||||||||||||
| Assessment Methods |
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| Course Administration |
cirpiciy@mef.edu.tr More detailed information about the course, like office hours, can be found in the course manual. Attendance is not required, but strictly advised. Missing midterm exam: No make up unless a legitimate proof of absence is presented. |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 3 | 2 | 98 | ||
| Quiz(zes) | 5 | 1 | 5 | ||||
| Midterm(s) | 1 | 8 | 2 | 10 | |||
| Final Examination | 1 | 20 | 2 | 22 | |||
| Total Workload | 135 | ||||||
| Total Workload/25 | 5.4 | ||||||
| ECTS | 6 | ||||||