Information Package / Course Catalogue
| Course Code | : ULT432 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
The objective of the 'Computational and Tabulation Programs' course is to equip logistics management students with computational and data analysis skills, enabling them to apply these skills in the context of strategic decision-making and efficiency enhancement within logistics operations. Students will use tabulation programs to perform hands-on exercises on real-world data sets, thereby developing their analytical thinking capabilities.
This course introduces logistics management students to essential computation and tabulation skills necessary for analyzing real-world data and improving operational efficiency. Through hands-on exercises using tabulation programs, students will learn to process and analyze data, applying their findings to make strategic decisions in logistics settings. The course will cover data collection, cleaning, statistical analysis, and data visualization, enhancing students' ability to think analytically and tackle complex problems.
| Assoc. Prof. Algın OKURSOY |
| 1. | Students will be able to collect, clean, and prepare data from logistics operations, making it suitable for analysis. |
| 2. | Students will master basic statistical concepts and apply statistical methods such as hypothesis testing, regression analysis, and time series analysis to logistics datasets. |
| 3. | Students will develop mathematical models for route optimization, inventory management, and resource allocation in logistics networks, producing effective solutions. |
| 4. | Students will be able to visualize data sets in clear graphs and tables and present information using visual data analysis techniques. |
| 5. | Students will develop practical problem-solving skills by conducting applied projects, case study analyses, and scenario-based simulations on real-world data sets. |
| 6. | Students will acquire critical thinking and analytical decision-making skills to analyze complex problems in the logistics sector, make strategic decisions, and produce effective solutions to challenges. |
| 1. | Excel 2013, 2016 Ve Office 365 Excel Uyumlu İleri Düzey Excel 2019 Veri Analizi – Formüller Ve İşlevler Dashboard Raporlama – Query (Sorgu) Ekranları, Ömer Bağcı, 2020, Seçkin Yayıncılık. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 3 | 70 |
| Reading | 7 | 2 | 0 | 14 |
| Individual Work | 5 | 6 | 0 | 30 |
| Midterm Examination | 1 | 15 | 1 | 16 |
| Final Examination | 1 | 19 | 1 | 20 |
| TOTAL WORKLOAD (hours) | 150 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | |
OÇ-1 | 3 | 3 | 3 | 3 | 3 | 4 | 4 | 3 | 3 | ||||
OÇ-2 | 3 | 3 | 2 | 3 | 2 | 5 | 4 | 3 | |||||
OÇ-3 | 4 | 3 | 2 | 2 | 3 | 2 | 3 | 2 | |||||
OÇ-4 | 3 | 3 | 2 | 2 | 3 | 3 | 3 | 3 | 3 | 5 | |||
OÇ-5 | 3 | 2 | 3 | 2 | 3 | 2 | 3 | ||||||
OÇ-6 | 3 | 4 | 4 | 3 | 3 | 3 | 2 | 2 | 1 | 1 | 2 | 3 | 3 |