Learning Pathways


Students summit the undergraduate alps by majoring in a particular area of study. While this remains the gold standard for specializing in a subject, university-goers often elect to minor in a complementary or completely unrelated field, alongside their major, to enrich their academic experience. Beyond these formal trajectories, students normally enroll in a variety of courses to diversify their portfolio, or they concentrate their course selection within a specific area to condense their learnings, albeit informally, towards a singular discipline.

To facilitate the latter, we have compiled a thematic list of courses that span an assortment of emerging and innovative specialisms. These learning pathways, as we call them, include environment and sustainability, quantum technologies, machine learning and artificial intelligence, plants and agriculture, drug discovery and vaccines/human disease, robotics, and mathematical physics. There could be many more and we are open to suggestions.  

We encourage students to look at these pathways and survey the courses they encompass. If they come across a theme that piques their interest, and they would like to develop expertise and forte in that area, they can pick and choose courses from that particular pathway.  

Furthermore, in tailoring their course selection via these learning pathways, students can acquire depth in a specific field, connect with faculty working in that area, and polish their skill set to enhance their career and/or further education prospects. Although these concentrations would not be reflected formally on students’ degrees/transcripts, taking a focused group of courses will enable them to demonstrate competency and agility in a particular area, to potential employers, or on their grad school applications.  

The School’s aim in curating this collection of courses is to elevate the undergraduate experience of its students and to further its mission of training the next generation of scientists who engage with 21st-century challenges and meet them head-on. At SBASSE, we are not just training biologists, chemists, physicists, or electrical engineers – we are also empowering our learners to become environmentalists, quantum technologists, plant specialists, therapeutists, and data scientists. We invite students to join us on this mission and build expertise in a chosen area by leveraging these learning pathways.


Environment and Sustainability
1. Socio-Ecological Systems & Sustainability - Dr. Talha Manzoor EE 5612/SCI 302
2. Environmental Chemistry - Dr. Muhammad Zaheer CHEM 218
3. Fundamentals of Environmental Engineering - Dr. Tauqeer Abbas CHE 312
4. Introduction to Environmental Sciences - Dr. Fozia Parveen SCI 103
5. Renewable Energy and Environmental Sustainability - Dr. Tauqeer Abbas CHE 316
6. Air Pollution: History, Science, Impacts and Solutions - Dr. Shahana Khurshid SCI 203
7. Remote Sensing of the Environment - Dr. Jawairia Ashfaq Ahmad EE 568/CS 6317/PHY 523
8. Particle Science and Engineering - Dr. Shahana Khurshid CHE 262
9. Membrane Science and Engineering - Dr. Faheem Hassan Akhtar CHE 412
10. Intro to Water Resource Management - Dr. Abubakr Muhammad, Dr. Jawairia Ahmad, Dr. Fozia Parveen SCI 204
Quantum Technology
1. Quantum Computation and Information - Dr. Adam Zaman Chaudhry, Dr. Muhammad Faryad PHY 414
2. Introduction to Quantum Computing - Dr. Muhammad Faryad PHY 315/CS 316/EE 312
3. Quantum Algorithms - Dr. Muhammad Faryad PHY 5114
4. Quantum Chemistry & Spectroscopy - Dr. Habib-ur-Rehman CHEM 712/PHY 5112
5. Introduction to Quantum Information Science - Dr. Muhammad Faryad PHY 612
6. Quantum Chemistry - Dr. Habib-ur-Rehman CHEM 314
7. Quantum Mechanics I - Dr. Syed Moeez Hassan PHY 212
8. Quantum Optics - Dr. Adam Zaman Chaudhry PHY 411/EE 533/PHY 5312
9. Quantum Mechanics - Dr. Muhammad Shahbaz PHY 517
10. Introduction to Quantum Information Science and Technology - Dr. Muhammad Sabieh Anwar PHY 612/CS 5112/EE 539
11. Quantum Mechanics II - Dr. Rizwan Khalid PHY 312
Machine Learning and Artificial Intelligence
1. Hardware Architectures for Artificial Intelligence - Dr. Rehan Hameed CS 623/EE 5213
2. Mathematical Foundations for Machine Learning and Data Science - Dr. Zubair Khalid EE 212
3. Machine Learning for Precision Agriculture - Dr. Abdul Bais CS 6316/EE 5613
4. Information Theory and Machine Learning - Dr. Momin Ayub Uppal, Dr. Muhammad Tahir EE 578/CS 594
5. Natural Language Processing - Dr. Asim Karim CS 5316
6. Speech Processing - Dr. Agha Ali Raza CS 433/CS 5318/EE415
7. Machine Learning - Dr. Agha Ali Raza / Dr. Zubair Khalid CS 535/EE 514
8. Mathematical Foundations for Machine Learning and Data Science - Dr. Zubair Khalid EE 212/ENGG 302/SCI 304
9. Deep Learning - Dr. Hassan Mohy-ud-Din / Dr. Murtaza Taj EE 414/CS 437/CS 5317/EE 517
10. Computer Vision Fundamentals - Dr. Murtaza Taj CS 436/CS 5310/EE 513
11. Data Analysis and A.I. on the Sphere - Dr. Zubair Khalid EE 518
12. Introduction to Artificial Intelligence - Dr. Mian Muhammad Awais, Dr. Muhammad Tahir CS 331
13. Intelligent Computing - Dr. Mian Muhammad Awais CS 532
14. Learning for Dynamics and Control - Dr. Abubakr Muhammad EE 5614/MATH 549
Plants and Agriculture
1. Plant Physiology - Dr. Khurram Bashir BIO 5112
2. Machine Learning for Precision Agriculture - Dr. Abdul Bais CS 6316/EE 5613
3. Genetics - Dr. Muhammad Tariq, Dr. Khurram Bashir BIO 221
4. Plant Biotechnology - Dr. Zaigham Shahzad BIO 527
5. Eukaryotic Development/Developmental Biology - Dr. Muhammad Tariq, Dr. Muhammad Shoaib BIO 515/BIO 415
Drug Discovery and Vaccines/Human Disease 
1. RNA Biology - Dr. Muhammad Afzal BIO 523
2. Molecular Mechanisms of Bacterial Pathogenesis - Dr. Shaper Mirza BIO 517
3. Topics in Cancer Biology - Dr. Amir Faisal, Dr. Muhammad Afzal BIO 522
4. Molecular Biology - Dr. Muhammad Shoaib, Dr. Muhammad Tariq BIO 216
5. Chemistry of Biomolecule - Dr. Muhammad Saeed CHEM 532
6. Biochemistry - Dr. Syed Shahzad ul Hussan, Dr. Muhammad Shoaib BIO 212/CHEM 251
7. Virology and Microbiology - Dr. Shaper Mirza BIO 314
8. Immunology - Dr. Shaper Mirza BIO 519
9. Evolution - Dr. Zaigham Shahzad BIO 524
1. Digital Logic Circuits - Dr. Muhammad Jahangir Ikram, Dr. Shahid Masud EE 220
2. Signals and Systems - Dr. Momin Ayub Uppal EE 310
3. Human-Computer Interaction Design - Dr. Suleman Shahid CS 5613/CS 466
4. Robot Motion Planning - Dr. Talha Manzoor, Dr. Abubakr Muhammad EE 562/CS 5610
5. Microcontroller and Interfacing - Dr. Muhammad Jahangir Ikram EE 324
6. Computer Vision Fundamentals - Dr. Murtaza Taj CS 436/CS 5310/EE 513
7. Digital Image Processing - Dr. Nadeem Ahmad Khan EE 512/CS 653
8. Mobile Robotics - Dr. Hassan Jaleel, Dr. Abubakr Muhammad EE 565/CS 593
9. Image and Video Coding - Dr. Nadeem Ahmad Khan EE 573/CS 652
10. Junior Design Studio - Robotics - Dr. Hassan Jaleel EE 3002
11. Principles of Digital Audio and Video - Dr. Nadeem Ahmad Khan EE 412/CS 455
12. Digital Control Systems - Dr. Abubakr Muhammad EE 561
Mathematical Physics
1. Symmetry Methods, Conservation Laws and Exact Solutions for Differential Equations - Dr. Imran Naeem PHY 519/MATH 414/MATH 514
2. Methods of Applied Mathematics - Dr. Sultan Sial MATH 4112/MATH 516
3. Applied Stochastic Processes - Dr. Adnan Khan MATH 437/MATH535
4. Mathematical Methods in Physics and Engineering I - Dr. Ammar Ahmed Khan PHY 223
5. General Relativity - Dr. Syed Moeez Hassan PHY 442/PHY642/MATH 466
6. Introduction to Quantum Field Theory - Dr. Tajdar Mufti PHY 539
7. Quantum Mechanics I - Dr. Syed Moeez Hassan PHY 212
8. Statistical Mechanics - Dr. Ata Ulhaq, Dr. Ammar Ahmed Khan PHY 313
9. Classical Mechanics - Dr. Tajdar Mufti PHY 301
10. Quantum Mechanics - Dr. Muhammad Shahbaz PHY 517
11. General Relativity - Dr. Syed Moeez Hassan PHY 442/MATH 466/PHY 642
12. Quantum Mechanics II - Dr. Rizwan Khalid PHY 312

In order to obtain course outlines, please email nouman.baig@lums.edu.pk or the respective instructors. Note that the instructors change from offering to offering.