BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| COMPUTER PROGRAMMING (TURKISH) | |||||
| Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| COP4434 | IBM Big Data and Analytics | Spring Fall |
3 | 0 | 3 | 6 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Non-Departmental Elective |
| Course Level: | Associate (Short Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi CEMAL OKAN ŞAKAR |
| Course Lecturer(s): |
Prof. Dr. TAŞKIN KOÇAK Dr. Öğr. Üyesi CEMAL OKAN ŞAKAR |
| Recommended Optional Program Components: | None |
| Course Objectives: | The students will take lectures from senior executives from IBM. Each lecture will focus on a different subject and the lecturer will share his/her own experiences together with the theoretical basis of the subject. The courses will include Business Analytics & Big Data capabilities and service areas including key concepts, services, IBM software, hardware offerings and IBM assets. In addition, industry use cases are used to illustrate effective use of Big Data services. The courses will help students to prepare for a successful professional career. |
Learning Outcomes
|
The students who have succeeded in this course; Expected benefits are multidimensional such as: - Graduating engineers being much more ready for the professional work - Directing academic research (including thesis) to real life problems and business needs - Creating new industry projects formed as the application of new technologies Hence, this course will be another good addition to our activities in industry-academia partnership. |
Course Content
| The course will include Big Data and analytics capabilities and service areas including key concepts, services, IBM software, hardware offerings and IBM assets. In addition, industry use cases are used to illustrate effective use of Big Data services. |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Big Data & Analytics for Better Business Outcomes | |
| 2) | Industry Aligned Big Data, Top Use Cases | |
| 3) | Overview of Big Data Technology & IBM Big Data Platform | |
| 4) | IBM Big Data Platform, Data Explorer | |
| 5) | Data Warehousing | |
| 6) | Information Integration, Master Data Management, Guardium, OPTIM | |
| 7) | Hadoop Technology | |
| 8) | Midterm | |
| 9) | Master Data Management for Customer | |
| 10) | Integrating Unstructured Data in the Enterprise | |
| 11) | Text Analytics | |
| 12) | Infrastructure for Big Data & Analytics | |
| 13) | Infrastructure for Big Data & Analytics | |
| 14) | Recap |
Sources
| Course Notes / Textbooks: | Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by E. Siegel |
| References: |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Quizzes | 2 | % 5 |
| Project | 1 | % 25 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 35 | |
| PERCENTAGE OF FINAL WORK | % 65 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Project | 1 | 20 | 20 |
| Quizzes | 2 | 14 | 28 |
| Midterms | 1 | 25 | 25 |
| Final | 1 | 30 | 30 |
| Total Workload | 145 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Students will have knowledge of fundemantals of mathemetaics and phsics | |
| 2) | Students will have konowledge of relevant software and hardware requirements in the office environment | |
| 3) | Having the ability to define and explain the fundemental concepts, principles and essentilas of software and having the ability to develop software. | |
| 4) | Having the ability to use tools, machines and having the ability to recognize and diagnose problems in the related computer fields. | |
| 5) | Having the ability to communicate efficiently in verbal and written Turkish, to know at least one foreign language in order to communicate with the colleagues and customers. | |
| 6) | Having the ability to setup,diagnose and maintanance of databases | |
| 7) | Having the ability to design graphical animations for desktop applications and internet programming. | |
| 8) | Having the ability to develop and control internet projects | |
| 9) | Having the ability to develop group projects, team work, software and hardware projects | |
| 10) | Having the ability to set up,diagnose operating systems and network systems |