Bachelor of Science in Cyber Technology

Department of Computer Science is offering 4 years technology degree program in Cyber Engineering Technology. Cyber Engineering Technology is the field of technology that aims at development of artificial devices and machines that are capable of operating in digital world. These devices and machines will serve humans in all domains: industrial, health care, finance, personal etc. Students will learn the development of Internet of Things (IoT) devices, devices interaction in internet world using cloud computing, web and mobile app development for human interface, artificial intelligence and analytics for independent operation. IoT, cloud computing, web and mobile app development, artificial intelligence, analytics and cyber security have tremendous job opportunities in US, Europe and all over the world. Students will have intensive industrial internship for hands on experience in final year.

Eligibility Criteria

70% seats are allocated for intermediate students and 30% seats are allocated for Diploma students. Intermediate students with Mathematics, Physics, Chemistry or Mathematics, Physics, Computer Science or Mathematics, Physics, Statistics combinations are considered eligible. Students are eligible who have diploma in any of the following DAE disciplines: Telecommunication, Computer Information Technology, Computer, Electrical, Electronics, Software, Radar Technology, Automation, Radio Technology, Instrumentation/ Instrumentation & Process Control.

Program Educational Objectives (PEOs)

The Cyber Engineering Technology Program at University of Engineering and Technology Taxila is a Technology program. The vision and mission of the Technology Engineering Program is the abstract resulted from overall University of Engineering and Technology vision and mission as mentioned below.

University Vision and Mission

Vision

To be a quality conscious institution of international standing imparting knowledge in the field of engineering and emerging technologies in a caring environment for the socioeconomic development of the Country.

Mission

To fulfill the needs of the Country by producing responsible graduates equipped with sound knowledge and skills along with highest moral values through conducive learning environment.

Department Vision and Mission

Mission

To produce knowledgeable, skillful, and morally high cyber technology graduates to address the cyber technology and security related issues and challenges.

Program Educational Objectives (PEOs)

The program educational objectives for the Cyber Engineering Technology program are to produce graduates who will be ethical, productive, and contributing members of society. PEOs were reviewed by the academic advisory council and board of undergraduate studies with leading academic and industry experts. PEOs of the Cyber Engineering Technology Program are as follows:

PEO 1: Graduates will have ability to understand, diagnose, and communicate cyber technology related issues.

PEO 2: Graduates will acquire knowledge and develop skills to improve their abilities to contribute to the cyber technology domain.

PEO 3: Graduates will have the ability to solve complex cyber engineering and technology problems by implementing modern and efficient techniques.

PEO 4: Graduates will practice professional norms at workplace.

Mapping of Vision and Mission with concerned Program Educational Objectives

Vision and Mission	PEO 1	PEO 2	PEO 3	PEO 4
University Vision To be a quality conscious institution of international standing imparting knowledge in the field of engineering and emerging technologies in a caring environment for the socioeconomic development of the Country.	✔	✔	✔	✔
University Mission To fulfill the needs of the Country by producing responsible graduates equipped with sound knowledge and skills along with highest moral values through conducive, learning environment.	✔	✔	✔	✔
Department Mission To produce knowledgeable, skillful, and morally high cyber technology graduates to address the cyber technology and security related issues and challenges.	✔	✔	✔	✔

 

Program Learning Outcomes (PLOs)

Program Learning Outcomes (PLOs) are listed in Graduate Attributes as defined by Sydney Accord which relate to the skills, knowledge and behavior that students acquire through program learning. These are narrower statements given below that describe what students are expected to know and be able to do by the time of graduation. Following Table illustrates the basic attributes covered by Computer Science Department and their alignment with the Program Educational Objectives. The domain of these attributes and objectives is also stated which is based upon the Bloom’s Taxonomy. The cognitive domain categories the mental abilities and the required knowledge level. Psychomotor domain covers the learning by doing, and affective domain shows the creation of ethical values in the undergraduates.

The Program Learning Outcomes (PLOs) have already been developed and approved by the statutory bodies. The PLOs have been publicized through university website and wall posters at suitable places in the Department.

Program Learning Outcomes (PLOs) as defined by Sydney Accord

PLO	KEYWORDS	STATEMENT
PLO 1	Engineering Technology Knowledge	An ability to apply knowledge of mathematics, natural science, Engineering Technology fundamentals and Engineering Technology specialization to defined and applied Engineering Technology procedures, processes, systems or methodologies.
PLO 2	Problem Analysis	An ability to Identify, formulate, research literature and analyze broadly-defined Engineering Technology problems reaching substantiated conclusions using analytical tools appropriate to the discipline or area of specialization.
PLO 3	Design/ Development of Solutions	An ability to design solutions for broadly- defined Engineering Technology problems and contribute to the design of systems, components or processes to meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
PLO 4	Investigation	An ability to conduct investigations of broadly-defined problems; locate, search and select relevant data from codes, data bases and literature, design and conduct experiments to provide valid conclusions.
PLO 5	Modern Tool Usage	An ability to select and apply appropriate techniques, resources, and modern technology and IT tools, including prediction and modelling, to broadly-defined Engineering Technology problems, with an understanding of the limitations.
PLO 6	The Engineering Technologist and Society	An ability to demonstrate understanding of the societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to Engineering Technology practice and solutions to broadly defined Engineering Technology problems.
PLO 7	Environment and Sustainability	An ability to understand and evaluate the sustainability and impact of technology work in the solution of broadly defined Engineering Technology problems in societal and environmental contexts.
PLO 8	Ethics	Understand and commit to professional ethics and responsibilities and norms of Engineering Technology practice.
PLO 9	Individual and Teamwork	An ability to function effectively as an individual, and as a member or leader in diverse teams.
PLO 10	Communication	An ability to communicate effectively on broadly defined Engineering Technology activities with the Engineering Technologist community and with society at large, by being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PLO 11	Project Management	An ability to demonstrate knowledge and understanding of Engineering technology management principles and apply these to one’s own work, as a member or leader in a team and to manage projects in multidisciplinary environments.
PLO 12	Lifelong Learning	An ability to recognize the need for and have the ability to engage in independent and life-long learning in specialist Engineering Technologies.

 

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Semester 1

Credit Hours: 16
Contact Hours: 24

#	Course Code	Course Title	Credit Hours		Contact Hours
			Theory	Lab	Theory	Lab
1	CBT-101	Introduction to Information and Communication Technologies	2	2	2	6
2	CBT-102	Programming Fundamentals	3	1	2	3
3	MTH-101	Calculus and Analytical Geometry	3	-	3	-
4	EG-101	Functional English	2	-	2	-
5	EL-101	Basic Electronics	2	1	2	3

Semester 2

Credit Hours: 17
Contact Hours: 23

#	Course Code	Course Title	Credit Hours		Contact Hours
			Theory	Lab	Theory	Lab
1	CBT-105	Introduction to Cyber Technologies	2	2	2	6
2	CBT-106	Digital Logic Design	2	2	2	6
3	MTH-102	Linear Algebra	3	-	3	-
4	EG-102	Technical and Business Writing	2	-	2	-
5	PK-101	Islamic and Pak Studies	2	-	2	-
6	CBT-107	Management Information System	2	0	2

Semester 3

Credit Hours: 17
Contact Hours: 29

#	Course Code	Course Title	Credit Hours		Contact Hours
			Theory	Lab	Theory	Lab
1	CBT-201	Object Oriented Programming	2	2	2	6
2	CBT-202	Introduction to Database Management Systems	2	2	2	6
3	MTH-201	Probability and Statistics	3	-	3	-
4	EG-201	Communication Skills	2	-	2	-
5	CBT-203	Computer Architecture and Organization	2	2	2	6

Semester 4

Credit Hours: 20
Contact Hours: 34

#	Course Code	Course Title	Credit Hours		Contact Hours
			Theory	Lab	Theory	Lab
1	CBT-204	Data Structures and Algorithms	2	2	3	6
2	CBT-205	Mobile Application Development	2	2	2	6
3	CBT-206	Web Programming	2	2	2	6
4	CBT-207	Discrete Structures	3	-	3	-
5	CBT-208	Internet Economics	2	-	2	-
6	CBT-209	Big Data Analytics	2	1	2	3

Semester 5

Credit Hours: 18
Contact Hours: 28

#	Course Code	Course Title	Credit Hours		Contact Hours
			Theory	Lab	Theory	Lab
1	CBT-301	Operating Systems	2	1	2	3
2	CBT-302	Introduction to Software Engineering	3	-	3	-
3	CBT-303	Data Communication and Networks	2	1	2	3
4	MGT-301	Entrepreneurship	2	-	2	-
5	CBT-304	User Interface Design	2	1	2	3
6	CBT-305	Artificial Intelligence	2	2	2	6

Semester 6

Credit Hours: 18
Contact Hours: 30

#	Course Code	Course Title	Credit Hours		Contact Hours
			Theory	Lab	Theory	Lab
1	CBT-306	Machine Learning	2	1	2	3
2	CBT-307	Internet of Things	2	1	2	3
3	CBT-308	Computer Graphics and Augmented Reality	2	1	2	3
4	CBT-309	Embedded Systems	2	1	2	3
5	CBT-310	Cloud Computing	2	2	2	6
6	CBT-311	Cyber Security	2	-	2	-

Semester 7

Credit Hours: 16
Contact Hours:

#	Course Code	Course Title	Credit Hours		Contact Hours
			Theory	Lab	Theory	Lab
1	SIT-401	Supervised Industrial Training-I	-	`16	-

Semester 8

Credit Hours: 16
Contact Hours:

#	Course Code	Course Title	Credit Hours		Contact Hours
			Theory	Lab	Theory	Lab
1	SIT-402	Supervised Industrial Training-II	-	16	-