Computer Science And Information|Artificial intelligence and data science | International University Of Technology Twintech

Artificial Intelligence and Data Science is a rapidly growing area of IT, which already finds its application in almost every area of life. In the age of knowledge, information, and data, the industrial sector is becoming very demanding for both the production of the technologies and the manpower to utilize these technologies.

The Faculty of Computer science and Information Technology at the International University of Technology TwinTech (IUTT) addressed this demand and therefore established a program specially designed for that purpose. Artificial Intelligence and Data Science program focuses on the theoretical knowledge that is necessary for the students, and the practical side that is imperative to crystallize the theoretical knowledge. Therefore, the program was engineered by experts in the Artificial Intelligence and Data Science so that our graduate will be equipped with a combination of theories and practices of Artificial Intelligence and Data Sciences.

vision and mission

To prepare distinguished graduates with solid knowledge and skills in field of Artificial Intelligence and Data Science in terms of science and technology via excellence academic programs, scientific research, and appropriate environment that enable them to meet the requirements of labor market locally and globally.

Program Objectives

To acquire a profound knowledge of foundation in both theoretical and practical aspects of computational intelligence and data science.

To critically analyze data, evaluate information, and solve real-world computing problems.

To provide insights into advanced areas of artificial intelligence and machine learning.

To prepare globally competent graduates having strong fundamentals and domain knowledge to provide effective solutions for computing problems.

To prepare the graduates to work as a committed professional with strong professional ethics and values, sense of responsibilities, understanding of legal, safety, health, societal, cultural and environmental issues.

To prepare committed and motivated graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking.

To prepare the graduates with strong managerial and communication skills to work effectively as individual as well as in teams.

Staff

Level 1

Term 1
No	Level-Sem.	Course Code	Course Name			اسم المقرر	Cr. Hrs
1.	1/1	CCS1102	Discrete Mathematics			الرياضيات المتقطعة	3
2.	1/1	CCS1101	Calculus (1)			حساب التفاضل والتكامل (1)	3
3.	1/1	CRQ1101	Introduction to Information Technology			مقدمة في تقنية المعلومات	3
4.	1/1	CRQ1102	Programming 1			برمجة 1	3
5.	1/1	URQ1103	Islamic Culture			الثقافة الإسلامية	3
6.	1/1	URQ1101	Proficiency Skills in English			مهارات إتقان اللغة الإنجليزية	2
7.	1/1	URQ1102	Arabic Israeli Conflict			الصراع العربي الإسرائيلي	2
Total							19
Term 2
No	Level-Sem.	Course Code		Course Name	اسم المقرر		Cr. Hrs.
1.	1/2	CCS1211		Calculus (2)	حساب التفاضل والتكامل (2)		3
2.	1/2	CCS1212		Linear Algebra	الجبر الخطي		3
3.	1/2	CRQ1211		Database Systems	أنظمة قواعد البيانات		3
4.	1/2	CRQ1212		Programming 2	برمجة 2		3
5.	1/2	CRQ1203		Statistics and Probability	الإحصاء والاحتمالات		3
6.	1/2	URQ1211		English Language Integrated Skills	مهارات اللغة الإنجليزية المتكاملة		2
7.	1/2	URQ1202		Arabic Language 1	اللغة العربية 1		2
Total							19

Level 2

Term 1
No.	Level-Sem.	Course Code	Course Name	Cr. Hrs.
1.	2/1	CAD2311	Data Structures	3
2.	2/1	CAD2312	Computer Organization and Architecture	3
3.	2/1	CAD2313	Data Engineering	3
4.	2/1	CAD2314	Web Design	3
5.	2/1	CCS2311	Object Oriented Programming	3
6.	2/1	URQ2311	Academic English	2
7.	2/1	URQ2312	Arabic Language 2	2
Total				19
Term 2
No.	Level-Sem.	Course Code	Course Name	Cr. Hrs.
1.	2/2	CAD2411	Introduction to Artificial Intelligence	3
2.	2/2	CAD2412	Web Development	3
3.	2/2	CAD2413	Algorithms Analysis and Design	3
4.	2/2	CAD2414	Computer Networks	3
5.	2/2	CAD2415	Introduction to Data Science	3
6.	2/2	CRQ2411	Systems Analysis and Design	3
7.	2/2	URQ2401	National Culture	2
Total				20

Level 3

Term 1
No.	Level-Sem.	Course Code	Course Name	Cr. Hrs.
1.	3/1	CAD3511	Programming for AI and Data Science	3
2.	3/1	CAD3512	Business Intelligence	3
3.	3/1	CAD3513	Machine Learning	3
4.	3/1	CAD3514	Project Management	3
5.	3/1	CAD3515	Statistical Analysis for Data Science	3
6.	3/1	CRQ2412	Operating Systems	3
Total				18
Term 2
No.	Level-Sem.	Course Code	Course Name	Cr. Hrs.
1.	3/2	CAD3611	Mobile Application Development	3
2.	3/2	CAD3612	Data Mining and Data Warehousing	3
3.	3/2	CAD3613	Information Security	3
4.	3/2	CRQ3601	Ethical and Professional Issues in Computing	3
5.	3/2	CRQ3501	Research Methodology	3
Total				15

Level 4

Term 1
No.	Level-Sem.	Course Code	Course Name		Cr. Hrs.
1.	4/1	CAD4711	Artificial Neural Networks		3
2.	4/1	CAD4712	Data Visualization		3
3.	4/1	CAD47xx	Elective-1		3
4.	4/1	CRQ4711	Project 1		3
Total					12
Term 2
No.	Level-Sem.	Course Code		Course Name	Cr. Hrs.
1.	4/2	CAD48xx		Elective – 2	3
2.	4/2	CAD4811		Natural Language Processing	3
3.	4/2	CAD4812		Data Analytics	3
4.	4/2	CRQ4811		Project 2	3
Total					12