PH25C03 Applied Physics (CSIE) – II – Semester II – CSE / IT / AI&DS / CSBS / CCE / CSE(DS) / CSE(IoT) / CSE(Cyber) / CSE(AI&ML) / CSE(AI) / CSD – R-2025

Subject Code & Name: PH25C03 – Applied Physics (CSIE) – II

Regulation: R-2025

Semester: II (Second Semester)

Branch: B.E. CSE (CSE)

Credits / L-T-P: 3 Credits | L-T-P: 2-1-0

Course Objectives

• To provide a comprehensive understanding of physics concepts in computer science and engineering applications.

Full Unit-wise Syllabus

Unit I – Magnetic Materials

Parameters, Ferromagnetic materials, Ferrites – Soft and Hard magnetic materials – GMR sensors – magnetic disk memories – Principle of magnetic recording – Magnetic data storage.

Activities: Determination of Hysteresis loop for ferromagnetic materials.

Unit II – Logic Gates

Conversion of Binary to decimal – decimal to binary – binary coded decimal code – logic gates (OR, AND, NOT, NAND and NOR) – Exclusive OR gate – simplification based on basic Boolean theorems (sum of products, product of sums expression) – simplification by Karnaugh Map method (don’t care conditions).

Activities: Virtual demonstration of Logic Gates.

Unit III – Nano-Devices

Introduction – electron density in bulk material – size dependence of Fermi energy – quantum confinement – quantum structures: quantum wells, wires and dots – band gap of nanomaterials. Tunneling – Coulomb blockade – single electron transistor – resonant-tunneling diode – Carbon nanotubes: Properties and applications.

Activities: Virtual demonstration of single electron transistor.

Unit IV – Quantum Computing

Quantum system for information processing – quantum states – classical bits – quantum bits or qubits – Bloch sphere – CNOT gate – Single and multiple qubits – quantum gates (Pauli – X, Y and Z Gates, Hadamard Gate, Phase gate – T gate, CNOT Gate) – advantage of quantum computing over classical computing.

Activities: Virtual demonstration of quantum computing.

Course Outcomes (COs)

• CO1: Explain the concepts of physics in computer science stream.
• CO2: Apply appropriate techniques in physics to solve engineering problems.
• CO3: Analyse physical systems and interpret data from the virtual studies in the core branches in computer science and engineering.

Assessment Pattern (Quick Note)

• Weightage: Continuous Assessment 40% | End Semester Examinations 60%
• Internal methodology: Quiz (10%), Assignments (30%), Flipped Class (10%), Internal Examinations (50%)

Source: Official Anna University – B.E. Computer Science and Engineering R-2025 Syllabus
Last Updated: September 2026