PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
MODA 101	VOCATIONAL MATHEMATICS	2 + 0	1st Semester

COURSE DESCRIPTION

Course Level	Associate's Degree
Course Type	Compulsory
Course Objective	Is is aimed that to gain to the student with numbers, basic geometry, probability and statistics related to the adequacy of procedures to make the correct.
Course Content	Sets and Numbers and Related Procedures Apply, Making Applications of Equations and Inequalities, Making Applications of algebraic, Making Applications of Geometry, Making Applications of Probability, Making Applications of Statistics
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Making Math Applications

COURSE'S CONTRIBUTION TO PROGRAM

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	2	28
Hours for off-the-classroom study (Pre-study, practice)	8	1	8
Mid-terms	1	8	8
Final examination	1	8	8
Total Work Load ECTS Credit of the Course			52

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
MODA 101	VOCATIONAL MATHEMATICS	2 + 0	1	Turkish	2018-2019 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Lecturer MELEK ARPACI GÜNDOĞAN	marpaci@pau.edu.tr		BUMYO A0102	%70

Goals		Is is aimed that to gain to the student with numbers, basic geometry, probability and statistics related to the adequacy of procedures to make the correct.
Content		Sets and Numbers and Related Procedures Apply, Making Applications of Equations and Inequalities, Making Applications of algebraic, Making Applications of Geometry, Making Applications of Probability, Making Applications of Statistics

Topics

Weeks	Topics
1	cluster
2	cluster
3	numbers
4	Facts about the processes
5	modular arithmetic
6	algebra
7	algebra
8	polynomials applications
9	Ratio and proportion
10	Ratio and proportion applications
11	probability
12	possible situations
13	Events likely to be
14	Applications concerning the probability

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Midterm Exam	50	Midterm Exam
Final Exam	50	Final Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student