Information Package / Course Catalogue
| Business Administration | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Econ., Admin. and Social Sciences | ||||
| Course Code | MATH 204 | ||||
| Course Title in English | Probability and Statistics for Social Sciences II | ||||
| Course Title in Turkish | Sosyal Bilimler için Olasılık ve İstatistik II | ||||
| Language of Instruction | EN | ||||
| Type of Course | Lecture | ||||
| Level of Course | Introductory | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 150 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
MATH 203 - Probability and Statistics for Social Sciences I |
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| Expected Prior Knowledge | Knowledge of introductory level mathematical concepts | ||||
| Co-requisites | None | ||||
| Registration Restrictions | None | ||||
| Overall Educational Objective | To learn the basic concepts of probability and statistics, recognize and distinguish the properties of important distributions and apply probability and statistics concepts in solving real life economic and business problems. | ||||
| Course Description | This is the second part of a basic statistics course for economics and business administration majors. Upon successful completion of the course, the participants are expected to be able to understand the basic concepts of sampling distributions, estimation, confidence intervals, and hypothesis testing (type I and II errors), explain the differences among various statistical techniques and identify an appropriate technique for a given set of variable and research questions; design, solve and interpret the results of hypothesis tests (t-test, z-test, chi-square tests) related to the population mean, population proportion and population differences. | ||||
| Course Description in Turkish | Bu ders ekonomi ve işletme öğrencileri için hazırlanmış olan temel istatistik dersinin ikinci kısmıdır. Ders başarı ile tamamlandığında, öğrenci başlangıç seviyesindeki istatistiki konular hakkında fikir sahibi olmalı, örnekleme ve örnekleme dağılımı, güven aralığı, hipotez testi, iki anakütle testi, varyans analizi ve örnekleme yöntemleri konularına hakim olabilmeli ve bu konularda veri setinden elde edilen sonuçları yorumlayabilmelidir. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Understand the basic concepts of sampling distributions 2) Learn estimation methods, confidence intervals, and hypothesis testing (type I and II errors) 3) Design, solve and interpret the results of hypothesis tests (t-test, z-test, chi-square tests) related to the population mean, population proportion and population differences 4) Explain the differences among various statistical techniques and identify an appropriate technique for a given set of variable and research questions |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| 1) Has a broad foundation and intellectual awareness with exposure to mathematics, history, economics, and social sciences | ||||
| 2) Demonstrates knowledge and skills in different functional areas of business (accounting, finance, operations, marketing, strategy, and organization) and an understanding of their interactions within various industry sectors | ||||
| 3) Applies theoretical knowledge as well as creative, analytical, and critical thinking to manage complex technical or professional activities or projects | ||||
| 4) Exhibits an understanding of global, environmental, economic, legal, and regulatory contexts for business sustainability | ||||
| 5) Demonstrates individual and professional ethical behavior and social responsibility | ||||
| 6) Demonstrates responsiveness to ethnic, cultural, and gender diversity values and issues | ||||
| 7) Uses written and spoken English effectively (at least CEFR B2 level) to communicate information, ideas, problems, and solutions | ||||
| 8) Demonstrates skills in data and information acquisition, analysis, interpretation, and reporting | ||||
| 9) Displays computer proficiency to support problem solving and decision-making | ||||
| 10) Demonstrates teamwork, leadership, and entrepreneurial skills | ||||
| 11) Displays learning skills necessary for further study with a high degree of autonomy |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Has a broad foundation and intellectual awareness with exposure to mathematics, history, economics, and social sciences | H | |
| 2) | Demonstrates knowledge and skills in different functional areas of business (accounting, finance, operations, marketing, strategy, and organization) and an understanding of their interactions within various industry sectors | S | |
| 3) | Applies theoretical knowledge as well as creative, analytical, and critical thinking to manage complex technical or professional activities or projects | N | |
| 4) | Exhibits an understanding of global, environmental, economic, legal, and regulatory contexts for business sustainability | N | |
| 5) | Demonstrates individual and professional ethical behavior and social responsibility | S | |
| 6) | Demonstrates responsiveness to ethnic, cultural, and gender diversity values and issues | N | |
| 7) | Uses written and spoken English effectively (at least CEFR B2 level) to communicate information, ideas, problems, and solutions | H | |
| 8) | Demonstrates skills in data and information acquisition, analysis, interpretation, and reporting | S | |
| 9) | Displays computer proficiency to support problem solving and decision-making | S | |
| 10) | Demonstrates teamwork, leadership, and entrepreneurial skills | S | |
| 11) | Displays learning skills necessary for further study with a high degree of autonomy | S |
| Prepared by and Date | NAROD ERKOL , December 2023 |
| Course Coordinator | NAROD ERKOL |
| Semester | Fall |
| Name of Instructor | Asst. Prof. Dr. NAROD ERKOL |
Course Contents
| Week | Subject |
| 1) | Syllabus, Introduction, MATH 203 Recap |
| 2) | Sampling and Sampling Distributions |
| 3) | Sampling and Sampling Distributions |
| 4) | Sampling and Sampling Distributions |
| 5) | Confidence Interval Estimation: Single Population |
| 6) | Confidence Interval Estimation: Single Population |
| 7) | Confidence Interval Estimation: Single Population |
| 8) | Midterm exam |
| 9) | Confidence Interval Estimation: Further Topics |
| 10) | Hypothesis Tests of a Single Population |
| 11) | Hypothesis Tests of a Single Population |
| 12) | Two Population Hypothesis Tests |
| 13) | Two Population Hypothesis Tests |
| 14) | Recap and review for final exam |
| 15) | Final exam |
| Required/Recommended Readings | Newbold, P., Carlson, W.L., Thorne, B.M. (2013) Statistics for Business and Economics, ninth edition. Pearson. | ||||||||||||||||||
| Teaching Methods | Active Learning Flipped Learning | ||||||||||||||||||
| Homework and Projects | Post-class assignments | ||||||||||||||||||
| Laboratory Work | NA | ||||||||||||||||||
| Computer Use | NA | ||||||||||||||||||
| Other Activities | Scheduled and unscheduled quizzes | ||||||||||||||||||
| Assessment Methods |
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| Course Administration |
erkoln@mef.edu.tr 02123953670 Course Instructor: Asst. Prof. Narod Erkol (erkoln@mef.edu.tr) Attendance/participation: Students are expected to prepare for the lecture via pre-class assignments, videos and reading materials. Students are responsible to follow the announcements, course materials available on Blackboard system. Formal use of e-mails: Students are expected to use their @mef accounts for email traffic. The instructor is only responsible for the information sent/received through Blackboard system and emails using @mef account. The course instructor assumes that any information sent through email will be received in 24 hours, unless a system problem occurs. Grading and evaluation: Evaluation will be based on the student learning outcomes. It is strongly recommended to complete all the work in a timely fashion. Late submissions will not be accepted. Missing projects: No make up unless a legitimate proof of absence is presented. Missing final exam: Faculty regulations. Academic integrity: All students of MEF University are expected to be honest and comply with academic integrity. Students are expected to do their own work and neither give nor receive unauthorized assistance. Disciplinary action will be taken in case of suspicion. Improper behavior, academic dishonesty and plagiarism: Law on Higher Education Article 54. Important: If the learner cannot collect at least 30 points from the activities other than the final exam, they can not take the final exam and will get an FZ grade. |
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ECTS Student Workload Estimation
| Activity | No/Weeks | Calculation | |||
| No/Weeks per Semester | |||||
| Course Hours | 28 | 140 | |||
| Homework Assignments | 6 | 72 | |||
| Midterm(s) | 2 | 34 | |||
| Final Examination | 2 | 54 | |||
| Total Workload | 300 | ||||
| Total Workload/25 | 12.0 | ||||
| ECTS | 6 | ||||