Information Package

MAN144

MATHEMATICS II

Course Code
MAN144
Semester
Second Term (Spring)
Theory+Practice
4 + 0
ECTS
7
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study1
SemesterSecond Term (Spring)
ECTS7
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Understand and use the language of mathematics
  2. Analyze and solve the problems encountered by mathematical thinking and derive conclusions and apply them
  3. Know the basic mathematical concepts such as derivative and integral function and be capable to apply them in their field of study.
Mode of DeliveryFace to face
PrerequisitesYes(MAN143)
Recommended Optional Programme ComponentsNone
Course DescriptionDefinite and indefinite integrals, matrices, determinants, systems of linear equations; functions of several variables: limit, differentiation and chain rule, gradient vector, tangent plane, extreme-value problems, the method of Langrange multipliers; double integrals. Students who miss more than 30% of total class hours receive an F2 grade.
Course Contents
WEEK TOPICS
1st Week Indefinite Integral, Techniques of Integration
2nd Week Definite Integral, Properties of definite integral, Area between curves
3rd Week Improper Integrals, Matrices, Matrix Operation, Inverse Matrix, Row Operations
4th Week System of linear equations and solution methods
5th Week Determinant and properties, Cramer Rule
6th Week Linear Inequalities, System of linear inequalities, Linear Programming
7th Week Midterm
8th Week Multiple Optimum Solutions
9th Week Functions of several variables, Graphs in R3
10th Week Partial derivatives, Application of partial derivatives, Implicit differentiation
11th Week High order partial derivatives, chain rule
12th Week Maximum and minimum for function of several variables
13th Week Lagrange multipliers
14th Week Double Integrals
Recommended or Required ReadingTemel matematiksel analiz; işletme, iktisat, yaşam bilimleri ve sosyal bilimler için, Ernest F. Haeussler, Richard S. Paul, Richard Wood.
Sosyal ve Beşeri bilimlerde Matematik II, Prof. Dr. Halil İbrahim Karakaş, Akademik Consulting & Training (Yayınevi).
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 4 56
Preparation for Final exam 1 50 50
Course hours 14 4 56
Preparation for Midterm exam 1 40 40
Laboratory (including preparation)
Final exam 1 3 3
Homework
Total Work Load207
Total Work Load / 30 (h)6.9
ECTS Credit of the Course7
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X X
K2
K3 X
K4
K5
K6
K7
K8
K9
K10
K11
K12
K13