BS Internet of Things (IoT)
Introduction
The Internet of Things (IoT) provides connectivity to a group of physical devices with sensors to exchange data over the Internet and communication networks. The Bachelor of Science (BS) in Internet of Things (IoT) is typically 4 years (8 Semesters) morning program offered by the Department of Electrical Engineering at the Ziauddin University, North Nazimabad, Karachi.
Eligibility Criteria
HSc., (Pre-Engineering / Pre-Medical or Computer Science) or A-Level or DAE in (Electrical / Electronics / Computer Information Technology or Equivalent). Students with pre-medical background are required to take an additional mathematics course.
Fee Structure
BS Internet of Things Fee Structure | Per Cr. Hr | Cr. Hrs. | Total (PKR) |
Tuition | 2,700 | 17 | 45,900 |
Examination | 250 | 17 | 4,250 |
Semester Registration | 5,000 | ||
Student Activity | 2,000 | ||
Sub-Total | 57,150 | ||
Admission (One Time Only) | 10,000 | ||
Security Deposit (One Time Only and Refundable) | 5,000 | ||
Grand Total (1st Semester) | 72,150 |
Note:
The University reserves the right to modify the fees (if required). Fees once deposited is non-refundable, except security deposit. Admission processing fee PKR 2500 is applicable.
Scope and Opportunities
An Internet of Things (IoT) Graduate is able to:
• Design, install, customize IoT devices and systems, IoT security challenges and cyberattacks.
• The Internet of Things (IoT) graduates have a wide range of opportunities in government and private sectors, healthcare, agriculture, manufacturing industries and cyber security industries.
Program Educational Objectives (PEOs)
PEO 1: Develop IoT/CPS expertise in a broad range of industries.
PEO 2: Design and customize IoT systems on the edge as well as on the cloud.
PEO 3: Effective communicate IoT ideas to an interdisciplinary corporate environment.
PEO 4: Deploy IoT systems in home and industrial automation.
PEO 5: Contribute as team leaders in socio-economic development at national and international level.
Program Learning Outcomes (POLs) / Graduate Attributes
Program learning outcomes are the knowledge, skills, and capabilities students should possess by the time of graduation. The Electrical Engineering program prepares students to attain the educational objectives by ensuring that
PLO 1: Engineering Knowledge: An ability to apply knowledge of Electrical Engineering fundamentals, applied mathematics, management science and an engineering specialization to the solution of complex Electrical Engineering problems.
PLO 2: Problem Analysis: An ability to identify, formulate, research literature and analyze complex Electrical Engineering problems reaching substantiated conclusions using Electrical Engineering principles, natural sciences and engineering sciences.
PLO 3: Design/Development of Solutions: An ability to design solutions for complex Electrical Engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
PLO 4: Investigation: An ability to investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments, analysis, and interpretation of experimental data, and synthesis of information to derive valid conclusions.
PLO 5: Modern Tool Usage: An ability to create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities, with an understanding of the limitations.
PLO 6: The Engineer and Society: An ability to apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to complex engineering problems.
PLO 7: Environment and Sustainability: An ability to understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development goals (SDGs).
PLO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
PLO 9: Individual and Team Work: An ability to work effectively, as an individual or in a team, on multifaceted and /or multidisciplinary settings.
PLO 10: Communication: ability to communicate effectively, orally as well as in writing, on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PLO 11: Project Management: ability to demonstrate management skills and apply engineering principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.
PLO 12: Lifelong Learning: ability to recognize importance of, and pursue lifelong learning in the broader context of innovation and technological developments.
FIRST YEAR
1st Semester | 2nd Semester | |||||
Code | Course | Cr. Hrs. | Code | Course | Cr. Hrs. | |
CS-104 | Programming Fundamentals | 3+1 | CS-112 | Object Oriented Programming | 3+1 | |
NS-109 | Calculus and Analytical Geometry | 3+0 | NS-112 | Differential Equations | 3+0 | |
EE-103 | Linear Circuit Analysis | 3+1 | EE-108 | Electronic Devices and Circuits | 3+1 | |
HS-105 | Functional English | 2+0 | HS-114 | Communication and Presentation Skills | 3+0 | |
HS-101/HS-102 | Islamic Studies/Ethical Behavior | 2+0 | HS-103 | Pakistan Studies | 2+0 | |
NS-106 | Applied Physics | 2+1 | IT-121 | IoT System Development Project | 0+1 | |
NS-103 | Basic Mathematics (3+0) N/C | – | – | – | – | |
Total | 15+3=18 | Total | 14+3=17 |
SECOND YEAR
3rd Semester | 4th Semester | |||||
Code | Course | Cr. Hrs. | Code | Course | Cr. Hrs. | |
CS-211 | Data Structure & Algorithm | 3+1 | CS-233 | Introduction to Database Systems | 3+1 | |
EE-211 | Electrical Network Analysis | 3+1 | CS-234 | Operating Systems | 3+1 | |
SE-344 | Human Computer Interaction | 3+0 | EE-231 | Signals and Systems | 3+1 | |
NS-221 | Complex Variables and Transforms | 3+0 | EE-321 | Microprocessor & Microcontroller Systems | 3+1 | |
EE-212 | Digital Logic Design | 3+1 | NS-201 | Linear Algebra | 3+0 | |
Total | 15+3=18 | Total | 15+4=19 |
THIRD YEAR
5th Semester | 6th Semester | |||||
Code | Course | Cr. Hrs. | Code | Course | Cr. Hrs. | |
CS-212 | Introduction to Software Engineering | 2+1 | IT-361 | Mobile & Web Development | 3+1 | |
EE-326 | Introduction to Embedded Systems | 3+1 | NS-241 | Statistical Modelling | 3+0 | |
IT-351 | Artificial Intelligence & Machine Learning | 3+1 | IT-363 | IoT Systems and Applications | 3+0 | |
MS-412 | Engineering Economics | 3+0 | CS-461 | Big Data & Cloud Computing | 3+1 | |
HS-222 | Technical Report Writing | 3+0 | CS-353 | Computer Communication and Networks | 3+1 | |
Total | 14+3=17 | Total | 15+3=18 |
FOURTH YEAR
7th Semester | 8th Semester | |||||
Code | Course | Cr. Hrs. | Code | Course | Cr. Hrs. | |
MS-412 | Project Management | 3+0 | MS-403 | Entrepreneurship | 3+0 | |
IT-472 | IoT Network Protocols and Sensor Interfacing | 3+0 | IT-483 | IoT Business Case | 3+0 | |
CS-304 | Information Security | 3+0 | MS-302 | Organizational Behavior | 3+1 | |
EE-471 | Final Year Project – I | 0+3 | EE-481 | Final Year Project – II | 0+3 | |
Total | 9+3=12 | Total | 9+4=13 |
Total Cr. Hrs. 131