Türkçe English Rapor to Course Content
COURSE SYLLABUS
STATISTICS
1 Course Title: STATISTICS
2 Course Code: OSPS049
3 Type of Course: Optional
4 Level of Course: Short Cycle
5 Year of Study: 2
6 Semester: 4
7 ECTS Credits Allocated: 3
8 Theoretical (hour/week): 1
9 Practice (hour/week) : 2
10 Laboratory (hour/week) : 0
11 Prerequisites: None
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Öğr. Gör. Dr. MERVE AKÇA
16 Course Lecturers: Meslek Yüksekokulları Yönetim Kurullarının görevlendirdiği Öğretim Elemanları
17 Contactinformation of the Course Coordinator: Öğr.Gör.Dr.Merve AKÇA
mascioglu@uludag.edu.tr
BUÜ Mustafakemalpaşa MYO
18 Website:
19 Objective of the Course: To establish the interdisciplinary relationship between today's business world and statistics, to collect data, learn appropriate methods, analyze and interpret them with these methods.
20 Contribution of the Course to Professional Development Ability to analyze and interpret using correct methods.
21 Learning Outcomes:
1 Understands the definition of statistics and masters the basic concepts.;
2 Learns data collection and organization methods.;
3 Learns to analyze data with appropriate methods.;
4 Learns how statistics are interpreted in daily life.;
5 Interprets all kinds of data with the help of graphs and tables.;
22 Course Content:
Week Theoretical Practical
1 Basic Concepts and Areas of Use of Statistics Sample solution for professional use
2 Organization of Data and Series Types; Simple series, Frequency series, Classified series Creating series, converting series into each other
3 Organization of Data and Series Types; Simple series, Frequency series, Classified series Creating series examples with professional content, converting series into each other
4 Data Tables and Graphs Creating series tables, drawing graphs
5 Time Series, Space Series and Their Graphs Creating time and space series, drawing graphs
6 Averages; Arithmetic, Geometric, Squared averages Calculating averages of series
7 Averages; Mode and Median Calculating averages of series
8 Measures of Variability: Variance, Standard deviation and Coefficient of Variation Calculating variability measures of series
9 Measures of Variability: Variance, Standard deviation and Coefficient of Variation Calculating variability measures of series
10 Measures of Variability: Variance, Standard deviation and Coefficient of Variation Calculating variability measures of series
11 Measures of Variability: Variance, Standard deviation and Coefficient of Variation Calculating variability measures of series
12 Indices Calculating and interpreting series indices
13 Indices Calculating and interpreting series indices
14 Indices Calculating and interpreting series indices
23 Textbooks, References and/or Other Materials:
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 1 40
Quiz 0 0
Homeworks, Performances 0 0
Final Exam 1 60
Total 2 100
Contribution of Term (Year) Learning Activities to Success Grade 40
Contribution of Final Exam to Success Grade 60
Total 100
Measurement and Evaluation Techniques Used in the Course Measurement and evaluation is carried out according to the principles of Bursa uludag University Associate and Undergraduate Education Regulation.
Information Results are determined with the letter grade determined by the student automation system.
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 1 14
Practicals/Labs 14 2 28
Self Study and Preparation 14 2 28
Homeworks, Performances 0 0 0
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 1 10 10
Others 0 0 0
Final Exams 1 12 12
Total WorkLoad 92
Total workload/ 30 hr 3,07
ECTS Credit of the Course 3
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 PQ13 PQ14
LO1 0 0 0 0 0 0 0 0 0 0 0 0 5 0
LO2 0 0 0 0 0 0 0 0 0 0 0 0 4 0
LO3 0 0 0 0 0 0 0 0 0 0 0 0 4 0
LO4 0 0 0 0 0 0 0 0 0 0 0 0 5 0
LO5 0 0 0 0 0 0 0 0 0 0 0 0 4 0
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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