Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
Face to face
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Course Coordinator : |
Assist. Prof. CEMAL OKAN ŞAKAR |
Course Lecturer(s): |
Prof. Dr. TAŞKIN KOÇAK
Assist. Prof. CEMAL OKAN ŞAKAR
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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. |
Week |
Subject |
Related Preparation |
1) |
Big Data & Analytics for Better Business Outcomes |
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2) |
Industry Aligned Big Data, Top Use Cases |
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3) |
Overview of Big Data Technology & IBM Big Data Platform |
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4) |
IBM Big Data Platform, Data Explorer |
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5) |
Data Warehousing |
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6) |
Information Integration, Master Data Management, Guardium, OPTIM |
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7) |
Hadoop Technology |
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8) |
Midterm |
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9) |
Master Data Management for Customer |
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10) |
Integrating Unstructured Data in the Enterprise |
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11) |
Text Analytics |
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12) |
Infrastructure for Big Data & Analytics |
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13) |
Infrastructure for Big Data & Analytics |
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14) |
Recap |
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Program Outcomes |
Level of Contribution |
1) |
Adequate knowledge in mathematics, science and civil engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. |
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2) |
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. |
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3) |
Ability to design a complex system, process, structural and/or structural members to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. |
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4) |
Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in civil engineering applications; ability to use civil engineering technologies effectively. |
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5) |
Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or civil engineering research topics. |
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6) |
Ability to work effectively within and multi-disciplinary teams; individual study skills. |
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7) |
Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. |
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8) |
Awareness of the necessity of lifelong learning; ability to access information to follow developments in civil engineering technology. |
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9) |
To act in accordance with ethical principles, professional and ethical responsibility; having awareness of the importance of employee workplace health and safety. |
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10) |
Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. |
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11) |
Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of civil engineering solutions. |
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