STAT543 SEMINAR II
| Course Code: | 2460543 |
| METU Credit (Theoretical-Laboratory hours/week): | 0 (0.00 - 2.00) |
| ECTS Credit: | 10.0 |
| Department: | Statistics |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Prof.Dr. ZEYNEP IŞIL KALAYLIOĞLU AKYILDIZ |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
The objective of this seminar course is to expose M.S. students in Statistics to current research topics, advanced methodologies, and practical applications in the field. Through student presentations, guest lectures, and group discussions, the course aims to develop students' critical thinking, scientific communication, and professional skills. It also encourages engagement with contemporary statistical challenges and fosters collaboration and academic growth in preparation for research or industry careers.
Course Content
In this course, students will attend the seminars given by academicians or experts who are using Statistics. This course helps graduate students to learn how to conduct a research, how to raise questions and how to be interrogative and how to present their research.
Course Learning Outcomes
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Critically evaluate current research papers and presentations in statistics and related fields.
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Present statistical topics effectively to both technical and non-technical audiences using appropriate visual and verbal communication tools.
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Engage in academic discussions by asking insightful questions and providing constructive feedback on others’ work.
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Synthesize knowledge from various statistical domains to understand emerging trends and interdisciplinary applications.
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Demonstrate professional skills such as scientific writing, peer review, and ethical research practices.
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Build confidence and experience in public speaking and academic discourse, preparing for thesis defense, conferences, or industry presentations.
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | Ability for converting theoretical, methodological, and computational statistical knowledge into analytical solutions in researches requiring statistical analyses. | ✔ | |||
| 2 | Ability for specifiying problems in real life situations bearing uncertainty, forming hypotheses, modeling, application, and interpreting the results. | ✔ | |||
| 3 | Ability for using current technology, computer softwares for statistical applications, computer programming for specific problems when necessary, writing computer codes for speeding up statistical calculations, organizing and cleaning databases, and preparing them for statistical analyses, and data mining. | ✔ | |||
| 4 | Ability for taking part in intra/inter disciplinary team work, efficient use of time, taking responsibility as a team leader, and entrepreneurship. | ✔ | |||
| 5 | Ability for taking responsibility in solitary work and producing creative solutions. | ✔ | |||
| 6 | Ability for keeping up-to-date with current advancements in statistical sciences, doing research, being open-minded, and adopting critical thinking. | ✔ | |||
| 7 | Ability for effective communication both in Turkish and English in specification of statistical problems, analyes, and interpretation of findings. | ✔ | |||
| 8 | Ability for using the knowledge in the field of expertise for the welfare of the society. | ✔ | |||
| 9 | Ability for suggesting the researchers in a comprehensible way the appropriate statistical methods for problems in fields that use statistics such as economics, finance, industrial engineering, genetics, and medicine and apply if needed. | ✔ | |||
| 10 | Ability for catalyzing discussions and presentations, public speaking, making presentations, communicating topics of expertise to the audiance in a comprehensible way. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution