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ADVANCED ECONOMIC MATHEMATICS

Module/Course Title : ADVANCED ECONOMIC MATHEMATICS Course Type: Compulsory Course for Study Program

Course Coordinator:

Putu Mahardika Adi Saputra, S.E., M.Si., M.A., Ph.D.

Lesson Plan Developer:

Dra. Marlina Ekawaty, M.Si., Ph.D.

Modules/

course code

Student

workloads credits(ECTS) Semester frequency Duration EKU 60203 16 x 3CU x 170

minutes

3 CU x 1,5 ECTS

2ndSemester Even Semester

1 Semester 1 Types of courses

Lectures Contact hours Independent

study

class sizes 31students 16 x 3 CU x

50 minutes

16 x 3 CU x 120 minutes 3 Prerequisites for participation (if applicable)

-

4 Learning Outcomes

a) Intended Learning Outcomes (ILO)

1) Capable of applying logical, critical, systematic, and innovative thinking in the context of the development or implementation of science and technology that pays attention to and applies humanities values in accordance with their field of expertise (ILO3)

2) Capable of compiling a scientific description of the results of studies on the implications of the development or implementation of science and

technology that pays attention to and applies the values of the humanities in accordance with their field of expertise based on scientific principles,

procedures and ethics in order to produce solutions, ideas, designs or art criticism, compile scientific descriptions of the results of their studies in the form of a thesis or final report (ILO 4)

3) Capable of making the right decision in the context of problem solving based on the results of information and data analysis (ILO 5)

4) Capable of designing and conducting research, analyzing and interpreting data with quantitative and qualitative approaches in economics (ILO8) b) Course Learning Outcomes (CLO)

1) Capable of understanding and explaining the partial derivative, and the total derivative of a multivariable function and its application in the economy

2) Capable of identifying multivariable functions and utilizing them with various variations

3) Capable of measuring and solving various problems as well as analysing the economy with input output tables

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5 Subject Content

1) Review of multivariable function derivatives 2) Multivariable function derivatives

3) Transportation Problems 4) Linear programming 5) Matrix and its Applications 6 Teaching Methods

1. Lectures

2. Discovery Learning 3. Cooperative Learning 4. Contextual Instructions 5. Discovery Learning 7 Assessment methods

Participation, Assignment, Quiz, Mid Term Exam, Final Exam

8 This Module/Course is also applied in The Following Study Program/s Doctoral Program in Economics

9 Authorisation for modules/courses team

10 References:

1. Chiang, Alpha C. 1984. "Fundamental Methods of Mathematical Economics".

3ᵗʰ ed. McGraw-Hill. New York.

2. Dumairy. 20…”Applied Mathematics for Business and Economics”. 3rd edition... BPFE UGM. Yogyakarta.

3. Kalangi, JB 2015. “Economic and Business Mathematics”. Third Edition.

Salemba Four. Jakarta.

4. Jacques, Ian. 2003. "Mathematics fir Economics and Business". 4ᵗʰed. Prentice Hall. London.

5. Ekawaty, Marlina. 2017. “Book Draft: Intelligently Understanding Economic Mathematics”. UB Press. Poor.

Referensi

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Nurul Badriyah Module/ course code Student workload CreditsECTS Semester Frequency Duration DIE90102 16 x 3CU x 170 minutes 3 CU x 1.5 ECTS 1stSemester Odd & Even Semester 1