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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IBF 1006 MATHEMATICS II COMPULSORY 3 0 0 4

Offered By

Faculty of Economics and Administrative Sciences

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR RABIA ECE OMAY

Offered to

Labour Economics and Industrial Relations (Evening) Management Information Systems Labour Economics and Industrial Relations Economics Econometrics (Evening) Economics (Evening) Business Administration (Evening) Business Administration Econometrics Faculty of Economics and Administrative Sciences

Course Objective

The main objective of the course is to give the student analytic thinking, arguing and analyzing abilities and using mathematics in economics.

Learning Outcomes of the Course Unit

1   To be able to express information, experiences, thoughts and solving suggestings even written or verbally with related topics. 2   To be able to research in mathematics. 3   To be able to use mathematical skills in professional problems. 4   To be able to solve basic economics problems with mathematical methods. 5   To be able to analyze problems in other discipline.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic integral rules 2 Methods of integral evaluation (variable changing, dividing parts) 3 Methods of integral evaluation (integrals of rational functions ) 4 Definite integral 5 Definite integral 6 Economic applications of integral 7 Sequences (definitons, operations in sequences, aritmethic and geometric sequences) 8 Mid-term 9 Mid-term 10 Sequences (Sequence limit, limit theorem, confined sequences) 11 Serials (Numerical serials and convergence, geometric serials and p-serial, alternate serials, power serials) 12 Serials (Numerical serials and convergence, geometric serials and p-serial, alternate serials, power serials) 13 Vectors, determinants and matrix 14 Vectors, determinants and matrix

Recomended or Required Reading

Calculus 2, Beta Yayınları, George B. Thomas Jr.

Planned Learning Activities and Teaching Methods

This course will be presented using class lectures, class discussions, overhead projections, and demonstrations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 2 24 Preparation for midterm exam 1 20 20 Preparation for final exam 1 25 25 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 107

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 LO.1 1 1 LO.2 1 1 LO.3 1 1 LO.4 1 1 LO.5 1 1