• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IBF 1005 MATHEMATICS I 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

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

Course Objective

The main objective of the course is to give the student basic mathematics information and ability of analyzing and solving mathematics problem.

Learning Outcomes of the Course Unit

1   To be able to interpret and draw conclusions of graphical data 2   To be able to use basic mathematics information. 3   To be able to analyze social sciences problems 4   To be able to make analytical considerations 5   To be able to relate mathematical methods with other disciplines

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Sets and numbers (Set theory natural, portional and disportional numbers, real, exponential and root numbers) 2 Equations and inequalities(Linear, second degree, absolute value equations and inequalities) 3 Equations and inequalities in economic applications(Line and parabola drawings,break-point analysis, supply-demand analysis,budget line and others) 4 Functions (basic functions, open and closed functions, single and double functions, periodical functions, reverse function, classification of functions (polinom functions, algebraic functions, transandant functions) 5 Limit and contuinity in functions (right and left limits, limit theorems) 6 Limit and contuinity in functions (undefinite conditions, contuinity of algebraic functions) 7 Derivate (definition and geometric meaning, basic derivation rules) 8 Mid-term 9 Mid-term 10 Derivate (parametric functions, high order functions, derivate of transandant functions) 11 Applications of derivatives (geometrical mean, increasing and decreasing functions) 12 First derivative and local extremum, second derivative and concavity. 13 Derivative applications (max and min applications, drawing graphs, differentials) 14 Derivative applications (Rolle and mean value theorems), undefinite derivatives (LeHospital rule), economics application of derivatives, [Taylor and Mac-Laurin serials (only Econometrics dept) ]

Recomended or Required Reading

Calculus 1, 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 28 28 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 110

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 LO.1 1 1 1 1 LO.2 1 1 1 1 LO.3 1 1 1 1 LO.4 1 1 1 1 LO.5 1 1 1 1