Introduction to Calculus (MATH101) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Calculus MATH101 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The aim of this course is to introduce the applications of mathematical analysis to business, economics and social sciences and, to teach different tecniques for problem solving. For this purpose, applications of mathematical analysis are illustrated with a variety of examples in economic, social and managerial sciences.
Course Learning Outcomes The students who succeeded in this course;
  • solve basic equations (including exponential and logarithmic equations) and inequalities
  • be familiar with some basic functions. They can sketch and read the graph of functions
  • solve system of equations with method of eliminations and also using matrices and determinants
  • produce solutions to problems in economics such as supply and demand equations.
Course Content Basic algebra, graphs, functions and their graphs, equations and inequalities, polynomials and rational functions, exponential and logarithmic functions, system of equations, matrices, determinants.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Sets, Numbers, Factoring fractions, Operations with Algebraic Expressions pp. 1-6, 9-41
2 Fractions, Linear Equations, Quadratic Equations pp. 21-34, 37-40
3 Applications of Equations, Linear Inequalities, Applications of Inequalities, Absolute Value pp. 46-64
4 Functions, Special Functions, Combinations of Functions, Inverse Functions, Graphs in Rectangular Coordinates pp. 75-100
5 Symmetry, Translations and Reflections, Lines pp. 103-109, pp. 116-122
6 Applications and Linear functions, Quadratic Functions, Systems of Linear Equations pp. 125-146
7 Nonlinear Systems, Applications of Systems of Equations pp. 148-155
8 Exponential Functions, Logarithmic Functions, Properties of Logarithms pp. 163-185
9 Logarithmic and Exponential Equations pp. 186-189
10 Compound Interest, Present Value, Interest Compounded Continuously pp. 197-206
11 Annuties, Amortization of Loans pp. 208-220
12 Matrices, Matrix Addition and Scalar Multiplication, Matrix Multiplication pp. 227-247
13 Solving Systems by Reducing Matrices pp. 250-262
14 Inverses (Inverse of a Matrix) Determinants (not in the textbook) Cramer’s Rule (not in the textbook) pp. 263-268
15 General Review
16 General Exam


Course Book 1. Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences by E. F. Haeussler, Jr Richard S. Paul and Richard J. Wood, Pearson Prentice Hall, 12th edition.
Other Sources 2. Precalculus Enhanced with Graphing Utilities, Second edition, Michael Sullivan and Michael Sullivan, Prentice Hall, 1996.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 60
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
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 Acquiring the skills of understanding, explaining, and using the fundamental concepts and methods of economics
2 Acquiring the skills of macro level economic analysis
3 Acquiring the skills of micro level economic analysis
4 Understanding the formulation and implementation of economic policies at the local, national, regional, and/or global level
5 Learning different approaches on economic and related issues
6 Acquiring the quantitative and/or qualitative techniques in economic analysis
7 Improving the ability to use the modern software, hardware and/or technological devices
8 Developing intra-disciplinary and inter-disciplinary team work skills
9 Acquiring an open-minded behavior through encouraging critical analysis, discussions, and/or life-long learning
10 Adopting work ethic and social responsibility
11 Developing the skills of communication.
12 Improving the ability to effectively implement the knowledge and skills in at least one of the following areas: economic policy, public policy, international economic relations, industrial relations, monetary and financial affairs.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 35