ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
BA2312 | Business Research Methods | Spring | 3 | 0 | 3 | 4 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. AHMET ERKUŞ |
Course Lecturer(s): |
Dr. Öğr. Üyesi GÜLBERK GÜLTEKİN SALMAN Prof. Dr. İPEK ALTINBAŞAK FARİNA |
Recommended Optional Program Components: | None |
Course Objectives: | This course is intended primarily for those who expect business and marketing intelligence to be an important part of their professional work. This includes not only those who plan to do marketing research, but those planning to go into other marketing jobs or who expect to be users of marketing research or clients of research departments or research vendors. Thus this course is aimed at the manager who is the ultimate user of business and marketing research and who is responsible for determining the scope and direction of research activities conducted on his/her behalf. |
The students who have succeeded in this course; I. Helps students understand the business and marketing research process and why it takes time and money to do it right. II. Develops ability to think conceptually and develop abstract ideas or concepts to more concrete solutions or results. III. Improves teaming and group effectiveness skills. IV. Develops skills in obtaining and interpreting secondary data using internet and library sources. V. Develops ability to conduct primary and secondary research, analyze results, develop findings, report and interpret results. VI. Improves written and verbal communication skills. VII. Builds up the knowledge of data analysis techniques. |
1st Week: Introduction and Early Phases of Business/Marketing Research 2nd Week: Defining the Business/Marketing Research Problem 3rd Week: Research Design 4th Week: Exploratory Research Design: Secondary Data and Qualitative Research 5th Week: Descriptive Research Design: Survey and Observation 6th Week: Measurement and Scaling: Fundamentals and Comparative Scaling 7th Week: Measurement and Scaling: Noncomparative Scaling Techniques 8th Week: Midterm 9th Week: Questionnaire Form Design 10th Week: Sampling: Design and Procedures 11th Week: Data Analysis: Examining Differences and Investigating Associations 12th Week: Qualitative Data Analysis 13th Week: Data Analysis by SPSS: Preliminary Steps 14th Week: Report writing |
Week | Subject | Related Preparation |
1) | 1st Week: Introduction and Early Phases of Business/Marketing Research | |
2) | 2nd Week: Defining the Business/Marketing Research Problem | |
3) | 3rd Week: Research Design | |
4) | 4th Week: Exploratory Research Design: Secondary Data and Qualitative Research | |
5) | 5th Week: Descriptive Research Design: Survey and Observation | |
6) | 6th Week: Measurement and Scaling: Fundamentals and Comparative Scaling | |
7) | 7th Week: Measurement and Scaling: Noncomparative Scaling Techniques | |
8) | 8th Week: Review | |
9) | 9th Week: Questionnaire Form Design | |
10) | 10th Week: Sampling: Design and Procedures | |
11) | 11th Week: Data Analysis: Examining Differences and Investigating Associations | |
12) | 12th Week: Qualitative Data Analysis | |
13) | 13th Week: Data Analysis by SPSS: Preliminary Steps | |
14) | 14th Week: Report writing |
Course Notes / Textbooks: | Required Text: Marketing Research: An Applied Orientation by Naresh K. Malhotra, Prentice-Hall, 6th edition. |
References: | Optional Texts: Research Methods for Business by Uma Sekaran and Roger Bougie, Wiley and Sons, 5th edition, 2010. Research Methods for Business Students, Mark Saunders, Adrian Thornhill, and Philip Lewis, 5th edition, Pearson Education Europe, Middle East & Africa. |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 5 | % 25 |
Midterms | 1 | % 30 |
Final | 1 | % 45 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 55 | |
PERCENTAGE OF FINAL WORK | % 45 | |
Total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 40 |
Study Hours Out of Class | 15 | 56 |
Quizzes | 5 | 5 |
Midterms | 1 | 2 |
Final | 1 | 2 |
Total Workload | 105 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Have sufficient background in mathematics, science and artificial intelligence engineering. | |
2) | Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. | |
3) | Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. | |
4) | Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. | |
5) | Select and use modern techniques and tools necessary for engineering applications. | |
6) | Design and conduct experiments, collect data, and analyse and interpret results. | |
7) | Work effectively both as an individual and as a multi-disciplinary team member. | |
8) | Access information via conducting literature research, using databases and other resources | |
9) | Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. | |
10) | Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. | |
11) | Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. | |
12) | Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. | |
13) | Have a sense of professional and ethical responsibility. | |
14) | Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |