Introduction to Machine Learning (IT 541)

2021 Spring
Faculty of Engineering and Natural Sciences
Information Technology(IT)
3
6
Altuğ Tanaltay atanaltay@sabanciuniv.edu,
Click here to view.
Doctoral, Master
--
Click here to view.

CONTENT

Data Science is the study of extracting information from data. Addressing the needs of the industry requires skills in data processing and data analytics spanning a wide area of subjects ranging from Statistics to Machine Learning. This course will introduce some of the basic concepts, techniques and tools that are required to solve problems widely seen in data analytics. The course wil start with a short review on inferencial Statistics and exploratory data analysis. The focus in the study of these subjects will be breadth, rather than depth, and practical examples will be used in applications of classification and clustering techniques to a wide variety of problems in predictive data analytics.

PROGRAMME OUTCOMES


1. Develop the ability to use critical, analytical, and reflective thinking and reasoning

2. Reflect on social and ethical responsibilities in his/her professional life.

3. Gain experience and confidence in the dissemination of project/research outputs

4. Work responsibly and creatively as an individual or as a member or leader of a team and in multidisciplinary environments.

5. Communicate effectively by oral, written, graphical and technological means and have competency in English.

6. Independently reach and acquire information, and develop appreciation of the need for continuously learning and updating.


1. Design and model engineering systems and processes and solve engineering problems with an innovative approach.

2. Establish experimental setups, conduct experiments and/or simulations.

3. Analytically acquire and interpret data.


1. To have acquired basic theoretical knowledge and technical infrastructure in the field of cyber security

2. To have developed a deep experience and understanding on the basic methods and human-induced and techinal weaknesses followed by the existing and future cyber attacks, threats and counterfeiting

3. To be able to analyze an IT infrastructure comprehensively and to determine risk by monitoring the existing weaknesses and to determine a cyber security strategy

4. To take the necessary measures to prevent possible costs and destruction during the occurrence of cyber attacks,

5. To be able to use current cyber security software tools and related software for professional purposes,

6. To follow the cyber security intelligence news and to combine and analyze data from different sources to take measures for preventing or reducing the prospective cyber attacks,

7. To be able to take preventive measures to hinder possible drawbacks by creating a deep understanding and awareness in legal, ethical and social aspects of protecting the security and privacy of personal and corporate data.


1. Identify the communication requirements in the corporate infrastructure, design and implement a capable and expandable solution.

2. Apply fundamental programming concepts to produce the source code by enforcing the correct syntax and semantics.

3. Customize, debug and test the code.

4. Design and implement a database system suitable for the requirements of the project.

5. Conduct project planning, management and coordination; prioritize resources and activities for on-time and on-budget project delivery.