COURSE INFORMATION
Course Title: MATH. FOR ECONOMICS AND BUSINESS I
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
BUS 101 A 1 4 0 0 4 5
Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature) NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours: Vasil Lino , Wednesday from 14 00 - 15 00 e-mail for appointment
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: NA
Teaching Assistant(s) and Office Hours: NA
Language: English
Compulsory/Elective: Compulsory
Classroom and Meeting Time: Tuesday E 313 08 45 - 10 15 Thursday A 005 10 30 - 12 15
Course Description: Mathematics for Economics and Business I: The aim of the courses is that the student be familiar with a wide variety of mathematical concepts. 1. The rate of change of function, Equations for lines, Functions and graphs, absolute values, limits continuity. 2. Derivates. 3. Applications of derivatives. Curve Sketching, Maxima and Minima, The Eigen value theorem. 4. Integration, Indefinite Integrals, Definite Integrals, Applications of Definite Integrals. 5. Transcendental functions Inverse Functions, Exponential and Logarithmic Functions. 6. Mathematics of Finance. 7. Introduction to Probability and statistics.
Course Objectives: To provide students with solid training in fundamental theories in both mathematics and economics. To equip students with quantitative reasoning skills, conceptual understanding, and the ability to effectively communicate in mathematics and in the language of economics and social science.
COURSE OUTLINE
Week Topics
1 Numbers and algebra
2 Linear equations and functions
3 Graphs of linear functıons
4 Supply and demand analysis
5 Quadratic functions
6 Revenue cost and profit
7 Indices and logarithms
8 Midterm Exam
9 Exponential and logarithmic functions
10 Percentages
11 Compound Interest
12 Infinite sequences and series
13 Infinite sequences and series
14 Investment Appraisal
Prerequisite(s): NA
Textbook: Ian Jacques, Mathematics for Economics and Business, Prentice Hall Inc., Harlow, 2006 Ian Jacques, Mathematics for Economics and Business, Pearson ninth edition. 2018
Other References: Steven T. Karris (1994) Mathematics for Business, Science, and Technology, Orchard Publications. E. F. Haeussler, Jr. and R. S. Paul (1999) Introductory Mathematical Analysis, Perentice-Hall Inc. New Jersey.
Laboratory Work: NA
Computer Usage: NA
Others: No
COURSE LEARNING OUTCOMES
1 Solve linear equations and inequalities.
2 Solve a system of two simultaneous linear equations in two unknowns using elimination.
3 Identify and sketch a linear demand/supply function.
4 Determine the equilibrium price and quantity for a single-commodity market both graphically and algebraically.
5 Set up simple macroeconomic models.
6 Solve quadratic inequalities using graphs or sign diagrams.
7 Determine equilibrium price and quantity given a pair of quadratic demand and supply functions.
8 Find the level of output that maximizes total revenue or profit.
9 Solve problems involving a percentage increase or decrease.
10 Calculate the future/present value of a principal under annual/continuous compounding.
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
Bachelor in Economics (3 years) Program
1 Students define the fundamental problems of economics 2
2 Students describe key economic theories 2
3 Students critically discuss current developments in economics 2
4 Students appropriately use software for data analysis 3
5 Students critically contextualize the selection of an economic problem for research within scholarly literature and theory on the topic 2
6 Students apply appropriate analytical methods to address economic problems 3
7 Students use effective communication skills in a variety of academic and professional contexts 3
8 Students effectively contribute to group work 3
9 Students conduct independent research under academic supervision 2
10 Students uphold ethical values in data collection, interpretation, and dissemination 3
11 Students critically engage with interdisciplinary innovations in social sciences 2
12 Student explain how their research has a broader social benefit 2
COURSE EVALUATION METHOD
Method Quantity Percentage
Midterm Exam(s)
1
35
Quiz
2
5
Final Exam
1
45
Attendance
10
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 10 10
Assignments 0
Final examination 1 14 14
Other 5 1 5
Total Work Load:
125
Total Work Load/25(h):
5
ECTS Credit of the Course:
5