⚠️ If you find any broken or incorrect document links, report it here.

B.Sc. Physical Science Semester 2 Syllabus – Gurugram University (GU) NEP 2020

Semester 2 (23 credits) covers Electricity & Magnetism, Algebra, Chemistry-II, Basics of Programming, Environmental Studies, English Language & Communication Level 2, MDC (Introduction to Indian History & Culture-II / Psychology of Abnormal Behavior), and Minor (Introduction to Data Science).

Quick Answer: B.Sc. Physical Science Semester 2 Syllabus – GU NEP 2020

Total Credits: 23 | Framework: NEP 2020, Scheme UG A1

B.Sc. Physical Science Semester 2 Syllabus – Gurugram University (GU) | NEP 2020

B.Sc. Physical Science Semester 2 – Credit Distribution (Total: 23 Credits)
Course Code Subject Category Credits Max Marks
240/PHYP/CC201 Electricity and Magnetism Core (CC) 3 50*
240/MATP/CC201 Algebra Core (CC) 4 100
240/CHEP/CC201 Chemistry-II Core (CC) 4 100
240/PHY/SE201-A Basics of Programming Skill Enhancement (SEC) 2 50
240/EVS/VA201 Environmental Studies Value Added (VAC) 2 50
240/ENG/AE201 English Language and Communication: Level 2 Ability Enhancement (AEC) 2 50
MDC Pool Introduction to Indian History & Culture-II (240/HIS/MD201) OR Psychology of Abnormal Behavior (240/PSY/MD201) Multidisciplinary (MDC) 3 75
240/CS/MI201 Introduction to Data Science Minor (MIC) 2 50

*Electricity and Magnetism: Max Marks 50 (Internal Assessment: 25, Theory External: 35 marks in exam). Credit as per official scheme; confirm with your college.

CORE

Electricity and Magnetism Syllabus – Unit-wise Topics

Electricity and Magnetism (CC-4 | 240/PHYP/CC201) — Course ID: 240/PHYP/CC201 | Max Marks: 50 | Internal Assessment: 25 | Credit: 3 (45 Hrs) | Time: 3 hrs. The paper consists of nine questions; Q1 is compulsory (five short-answer parts, each 2 marks) and the remaining eight questions are set in pairs from each unit; students attempt one from each pair. The question paper contains 20% numerical problems. Unit I: Electrostatics and Vector Analysis — Scalar and vector fields, differentiation of vectors, gradient of a scalar and its physical significance, vector integration, line integral, surface integral, volume integral, Gauss’s Divergence Theorem, Stokes’ Theorem, electric field, electric field lines, divergence and curl of electrostatic fields, electric potential, derivation of electric field from potential, Laplace equation, and Poisson equation. Important Topics: Gradient, Divergence & Curl, Gauss Divergence Theorem, Stokes Theorem, Electric Field and Electric Potential, Laplace Equation, Poisson Equation. Unit II: Gauss Law and Dielectrics — Electric flux, Gauss’s Law and its applications to spherical shells, uniformly charged infinite planes, and uniformly charged straight wires. Mechanical force on charged surfaces, energy per unit volume, polarization, dielectric materials, electric displacement, Gauss theorem in dielectrics, electrical susceptibility, permittivity, and dielectric constant. Important Topics: Gauss Law Statement and Proof, Electric Flux, Applications of Gauss Law, Polarization, Dielectric Constant, Permittivity. Unit III: Magnetostatics and Electromagnetic Induction — Lorentz force law, magnetic forces, Biot-Savart law and applications to straight conductors, circular coils, and solenoids. Divergence and curl of magnetic fields, Ampere’s Circuital Law, Faraday’s experiments, Faraday’s laws of electromagnetic induction, induced electric field, self-inductance, mutual inductance, and energy stored in magnetic fields. Important Topics: Lorentz Force, Biot-Savart Law, Magnetic Field due to Solenoid, Ampere Circuital Law, Faraday’s Law, Self and Mutual Inductance. Unit IV: Magnetic Materials and Maxwell Equations — Magnetization vector (M), magnetic intensity (H), magnetic susceptibility, magnetic permeability, relationship between B, H, and M, paramagnetism, diamagnetism, ferromagnetism, B-H curve, hysteresis, Maxwell’s equations and their derivations, displacement current, vector and scalar potentials, boundary conditions between two media, Poynting vector, and Poynting theorem. Important Topics: Relation between B, H and M, Paramagnetism, Diamagnetism and Ferromagnetism, B-H Curve and Hysteresis, Maxwell Equations, Displacement Current, Poynting Vector and Poynting Theorem. Most Important Formulae:

  • Coulomb's Law: F = (1 / 4πϵ₀) × (q₁q₂ / r²)
  • Gauss's Law: ∮ E · dA = Q / ϵ₀
  • Lorentz Force: F = q(E + v × B)
  • Faraday's Law: ε = − dΦ/dt
One-Night Revision Priority:
  • Gauss Law and its Applications
  • Biot-Savart Law
  • Ampere Circuital Law
  • Faraday's Law of Electromagnetic Induction
  • Maxwell Equations
  • Poynting Theorem
  • B-H Curve and Hysteresis
  • Paramagnetism, Diamagnetism and Ferromagnetism
Most Expected Long Questions:
  • Gauss Law and its Applications
  • Biot-Savart Law and Magnetic Field due to Solenoid
  • Ampere Circuital Law
  • Faraday's Laws of Electromagnetic Induction
  • Maxwell Equations and their Physical Significance
  • Poynting Theorem
  • B-H Curve and Hysteresis Loop
  • Paramagnetism, Diamagnetism and Ferromagnetism
Important Numericals:
  • Electric Flux Calculations
  • Applications of Gauss Law
  • Coulomb's Law Problems
  • Magnetic Field due to Straight Wire and Solenoid
  • Self and Mutual Inductance Calculations

CORE

Algebra Syllabus – Unit-wise Topics

Algebra (CC-5 | 240/MATP/CC201) — 4 Credits | 100 Marks | Duration: 3 hrs. The examiner sets 9 questions: two from each unit plus one compulsory question (Q1) with 5 parts covering the entire syllabus. Students attempt 5 questions — Q1 compulsory and one from each unit. Mathematics (Algebra and Number Theory) — This course covers matrix theory, systems of linear equations, polynomial equations, number theory, and algebraic methods used in higher mathematics and computational applications. Unit I: Matrices — Symmetric matrices, skew-symmetric matrices, Hermitian matrices, skew-Hermitian matrices, elementary operations on matrices, rank of a matrix, inverse of a matrix, linear dependence and independence of rows and columns, row rank and column rank, eigenvalues, eigenvectors, characteristic equation of a matrix, minimal polynomial of a matrix, and the Cayley-Hamilton theorem. Important Topics: Rank of Matrix, Inverse of Matrix, Eigenvalues and Eigenvectors, Characteristic Equation, Cayley-Hamilton Theorem. Unit II: System of Linear Equations — Applications of matrices to systems of linear equations, homogeneous equations, non-homogeneous equations, consistency of linear equations, unitary matrices, orthogonal matrices, bilinear forms, and quadratic forms. Important Topics: Homogeneous and Non-Homogeneous Equations, Consistency of Linear Equations, Orthogonal Matrices, Unitary Matrices, Quadratic Forms. Unit III: Theory of Equations — Relation between roots and coefficients, general polynomial equations in one variable, solutions of polynomial equations under conditions on roots, common roots and multiple roots, transformation of equations, nature of roots, and Descartes' Rule of Signs. Important Topics: Relation between Roots and Coefficients, Common and Multiple Roots, Transformation of Equations, Descartes' Rule of Signs, Nature of Roots. Unit IV: Number Theory and Cubic Equations — Solution of cubic equations using Cardan's Method, divisibility, greatest common divisor (GCD), least common multiple (LCM), prime numbers, and the Fundamental Theorem of Arithmetic. Important Topics: Cardan's Method, GCD and LCM, Divisibility, Prime Numbers, Fundamental Theorem of Arithmetic.

CORE

Chemistry-II Syllabus – Unit-wise Topics

Chemistry-II (CC-6 | 240/CHEP/CC201) — 4 Credits | 100 Marks (25 Internal Theory + 50 External Theory + 5 Practical Internal + 20 Practical External) | Duration: 3 hrs. This course covers advanced chemical bonding, hydrocarbons, and the physical and structural chemistry of gases, liquids, and solids. Course Objectives:

  • Understand various theories of chemical bonding.
  • Study alkanes, alkenes, alkynes, and aromatic compounds in terms of synthesis and reactivity.
  • Develop knowledge of kinetic theory of gases and associated concepts.
  • Understand ideal gas equations and deviations from ideal behavior.
  • Learn physical properties of liquids and intermolecular interactions.
  • Understand crystallography, crystal structures, close packing, and bonding in solids.
Course Outcomes:
  • Understand bonding theories associated with atoms and molecules.
  • Explain synthesis and reactions of hydrocarbons.
  • Analyze physical properties of gases and liquids.
  • Understand crystallography, crystal defects, and solid-state structures.
Unit I: Chemical Bonding – Part II — Valence Shell Electron Pair Repulsion (VSEPR) Theory and applications to NH₃, H₃O⁺, SF₄, ClF₃, H₂O, SnCl₂, ClO₃⁻, and ICl₂⁻. Molecular Orbital Theory of homonuclear and heteronuclear diatomic molecules (N₂, O₂, C₂, CO, NO), bond order, bond length, bond energy, multiple bonding (σ and π bonds), covalent character in ionic compounds, polarizing power, polarizability, and Fajan’s Rules. Important Topics: VSEPR Theory, Molecular Orbital Theory, Bond Order, Bond Length, Sigma and Pi Bonds, Fajan’s Rules, Polarization Effects. Unit II: Hydrocarbons Alkanes: Introduction, Wurtz Reaction, Kolbe Reaction, Corey-House Reaction, Decarboxylation, Free Radical Substitution, Halogenation, Reactivity and Selectivity. Alkenes: Synthesis, Saytzeff and Hoffmann Elimination, Electrophilic Addition Reactions, Markovnikov and Anti-Markovnikov Addition, Oxymercuration-Demercuration, Hydroboration-Oxidation, Ozonolysis, Catalytic and Chemical Reduction, Syn and Anti Hydroxylation. Alkynes: Preparation, Acidity of Alkynes, Electrophilic and Nucleophilic Addition Reactions. Aromatic Compounds: Electrophilic Aromatic Substitution, Halogenation, Nitration, Sulphonation, Friedel-Crafts Alkylation and Acylation, Directing Effects of Substituents. Important Topics: Wurtz Reaction, Markovnikov Rule, Hydroboration-Oxidation, Ozonolysis, Friedel-Crafts Reactions, Electrophilic Aromatic Substitution. Unit III: Gaseous and Liquid State — Kinetic Molecular Theory of Gases, Collision Frequency, Collision Diameter, Mean Free Path, Viscosity of Gases, Maxwell-Boltzmann Distribution, Molecular Velocities, Law of Equipartition of Energy, Heat Capacities, Ideal Gases, Deviations from Ideal Behavior, Van der Waals Equation, Critical State, Law of Corresponding States. Physical Properties of Liquids including Vapour Pressure, Surface Tension, Coefficient of Viscosity, Effects of Solutes and Temperature. Important Topics: Kinetic Theory of Gases, Maxwell-Boltzmann Distribution, Van der Waals Equation, Critical State, Surface Tension, Viscosity. Unit IV: Solid State — Unit Cells, Miller Indices, Crystal Systems, Bravais Lattices, Vector Applications in Crystallography, X-Ray Diffraction, Bragg’s Law, Crystal Structures of NaCl, CsCl, KCl, Diamond and Graphite, Close Packing in Solids, Semiconductors, Insulators, Crystal Defects, Lattice Energy, Isomorphism, Heat Capacity of Solids. Important Topics: Miller Indices, Bravais Lattices, Bragg’s Law, X-Ray Diffraction, Crystal Structures, Close Packing, Crystal Defects. Practical Syllabus
  • Acid-Base Titrations and Estimations.
  • Detection of Extra Elements (N, S, Cl, Br, I) in Organic Compounds.
  • Preparation of Dibenzalacetone from Acetone and Benzaldehyde.
  • Preparation of 2,4-DNP Derivatives.
  • pH Metric Titrations (Strong Acid–Strong Base, Weak Acid–Strong Base).
  • Conductometric Titrations.
Evaluation Scheme:
  • Theory: 75 Marks (50 External + 25 Internal)
  • Practical: 25 Marks (20 External + 5 Internal)
  • Total: 100 Marks
Question Paper Pattern:
  • Total 9 Questions.
  • Question No. 1 is compulsory and covers all units.
  • Two questions are set from each unit.
  • Students attempt 5 questions in total, including the compulsory question.
  • All questions carry equal marks.
  • Log table and non-programmable calculator are permitted.

SKILL ENHANCEMENT (SEC)

Basics of Programming Syllabus – Unit-wise Topics

Basics of Programming (SEC-2 | 240/PHY/SE201-A) — 2 Credits | 50 Marks (Internal Assessment: 5 marks | External Exam: 20 marks | Practical Internal: 5 marks | Practical External: 20 marks) | Time: 3 hrs. This Skill Enhancement Course introduces Python programming with a focus on physical science applications. Course Objective: Grasping fundamental programming concepts and Python syntax — understanding how to declare and use variables, recognize different data types (integers, floats, strings, booleans), and perform basic arithmetic, string concatenation, and logical operations. This foundation enables students to write and understand basic Python code effectively. Unit I: Basics of Python — Introduction to Python, Python Interpreter, the print() statement, variables and assignments, strings, comments and docstrings, debugging techniques, user input, data types, and data type conversion. Unit II: Operations and Data Structures — Arithmetic and other operations in Python, lists and list operations, comparison operations, logical operations, and practical programming exercises including mathematical operations, Celsius to Fahrenheit conversion, and solving quadratic equations. Unit III: Control Flow and Iteration — Control flow concepts including sequencing, iteration, and selection. Looping constructs using for and while loops. Conditional statements including if, if-else, and elif. Use of break and continue statements, ranges, and practical programs such as Simple Harmonic Motion, Motion of a Ball under Gravity, and Projectile Motion simulations. Unit IV: Functions and Advanced Data Structures — Built-in functions, list functions, string functions, user-defined functions, dictionaries and dictionary functions, tuples, sets, and list comprehensions. Practical programming exercises including building a simple calculator, implementing Ohm's Law calculations, and power calculation programs. References: Python Crash Course by Eric Matthes (No Starch Press, 2nd ed., 2019); Python Programming: An Introduction to Computer Science by John Zelle; Computation Physics: Problem Solving with Python by Landau, Páez & Bordeianu (Wiley VCH, 2015). Basics of Programming Lab: Marks (External): 20 | Marks (Internal Assessment): 05 | Credits: 1 (30 Hrs) | Time: 3 Hrs. Each student should perform at least five experiments; students are required to calculate the error involved in a particular experiment.

VALUE ADDED (VAC)

Environmental Studies Syllabus – Unit-wise Topics

Environmental Studies (VAC-2 | 240/EVS/VA201) — 2 Credits | 50 Marks | Theory: 35 marks | Internal Assessment: 15 marks | Duration: 3 hrs. This mandatory Value Added Course for UG programmes develops environmental awareness and sustainable thinking. Course Code: 240/EVS/VA201. Course Objective: To provide students with an understanding of environmental systems, ecological processes, natural resources, population growth, sustainable development, and environmental issues. The course helps students develop environmental awareness, critical thinking, and responsible attitudes toward environmental protection and sustainability. Course Learning Outcomes:

  • Gain knowledge about natural processes and resources that sustain life and the economy.
  • Understand the consequences of human actions on the environment and quality of life.
  • Develop critical thinking for environmental protection using scientific, social, economic, and legal approaches.
  • Explain sustainable development, its goals, targets, challenges, and strategies.
Unit I: Basic Concepts of Environment — Environment: definition and significance, habitat and ecological niche, biosphere, atmosphere, lithosphere, and hydrosphere. Factors affecting the environment including abiotic factors (light, temperature, humidity, and topography) and biotic factors (microorganisms, animals, plants, and humans). Sources of energy including renewable and non-renewable energy resources. Important Topics: Environment and Ecosystem, Habitat and Ecological Niche, Biosphere, Abiotic and Biotic Factors, Renewable and Non-Renewable Energy Sources. Unit II: Ecosystem — Ecosystem definition, types and functions, energy flow in ecosystems, food chains, food webs, trophic structure, concept of productivity, biogeochemical cycles including hydrological, gaseous, and sedimentary cycles, and biological invasion and its environmental impact. Important Topics: Food Chain, Food Web, Trophic Levels, Ecosystem Functions, Biogeochemical Cycles, Biological Invasion. Unit III: Population and Sustainable Development — Concept of population, population density, natality, mortality, carrying capacity, growth forms, human population concerns at national and international levels, Indian efforts to control population growth, and sustainable development. Important Topics: Population Growth, Carrying Capacity, Natality and Mortality, Human Population Issues, Sustainable Development. Unit IV: Environmental Pollution — Air pollution, water pollution, soil pollution, noise pollution, plastic pollution, marine pollution, solid waste management, ozone depletion, global warming, and climate change. Important Topics: Air Pollution, Water Pollution, Plastic Pollution, Solid Waste Management, Ozone Depletion, Global Warming, Climate Change. Examination Pattern:
  • Maximum Marks: 50
  • Theory Examination: 35 Marks
  • Internal Assessment: 15 Marks
  • Credits: 2
Question Paper Pattern:
  • Total 9 Questions.
  • Question No. 1 is compulsory and contains 8 short-answer questions from the entire syllabus.
  • Two questions are set from each unit.
  • Students must attempt one question from each unit.
  • All questions carry equal marks.

ABILITY ENHANCEMENT (AEC)

English Language and Communication: Level 2 Syllabus – Unit-wise Topics

English Language and Communication: Level 2 (AEC-2 | 240/ENG/AE201) — 2 Credits (Theory 2) | Total Marks: 50 | End Term Exam Marks: 35 | Internal Assessment Marks: 15 | Exam Time: 3 hrs. Course Code: B23-AEC-211 | Course Type: AEC-2 | Level: 100-199. Course Learning Outcomes: Students will be introduced to the phonetics and syllables in English (E201.1); will learn various components of speaking skills and their use in communication (E201.2); will learn the practical use of punctuation and capitalization (E201.3); will have comprehensive knowledge of tenses (E201.4). Unit I: Sounds in English Language — Phonetic symbols, understanding pronunciation symbols through dictionaries such as the Oxford Advanced Learner's Dictionary, and transcription of one-syllable and two-syllable English words. For visually impaired students: story development based on a given prompt or idea. Important Topics: Phonetic Symbols, Syllables, Dictionary Pronunciation Symbols, Word Transcription. Unit II: Developing Fluency in Speaking Skills — Speech making, expository speech, argumentative speech, dialogues, role plays, and group discussions for developing effective spoken communication skills. Important Topics: Expository Speech, Argumentative Speech, Group Discussion (GD), Dialogue Writing, Role Play. Unit III: Proper Use of Punctuation and Capitalization — Punctuation marks and capitalization rules used in written English communication. Important Topics: Full Stop (.), Comma (,), Question Mark (?), Exclamation Mark (!), Capitalization Rules. Unit IV: Introduction to Tenses — Present tense, past tense, future tense, and their forms and uses in English grammar. Important Topics: Simple Present Tense, Simple Past Tense, Simple Future Tense, Tense Identification and Usage. Quick Revision Topics:

  • Unit I: Phonetic Symbols, Syllables, Word Transcription
  • Unit II: Expository Speech, Argumentative Speech, Group Discussion, Role Play
  • Unit III: Punctuation Marks, Capitalization Rules
  • Unit IV: Present, Past and Future Tenses, Forms and Uses

MULTIDISCIPLINARY (MDC)

MDC Options – Semester 2 Syllabus – Unit-wise Topics

MDC Options – Semester 2 (Choose One from Pool):

Introduction to Indian History and Culture-II (240/HIS/MD201) — 3 Credits | Maximum Marks: 75 (TE + TI + PE + PI = 50 + 25 + 0 + 0) | Time Allowed: 3 hrs. Course Code: MDC-2, (240/HIS/MD/201). Unit I: Mughal Empire, Maratha Empire and Advent of Europeans — The Mughal Empire and its important rulers including Babur, Humayun, Akbar, Jahangir, Shah Jahan, and Aurangzeb. Mughal administration, Mansabdari system, economy, society, and culture. Rise of the Maratha Empire under Shivaji, Maratha administration, military organization, and economy. Advent of European powers in India including the Portuguese, Dutch, French, and English, and the establishment of the British East India Company. Unit II: British Conquest and Socio-Religious Reform Movements — British conquest of India through major battles including the Battle of Plassey (1757) and Battle of Buxar (1764), and the consolidation of British power. Socio-religious reform movements including Brahmo Samaj, Arya Samaj, and the Theosophical Society. Contributions of important reformers such as :contentReference[oaicite:0]{index=0} and :contentReference[oaicite:1]{index=1}. Revolt of 1857: causes, course, consequences, and its impact on British policies. Unit III: Indian National Movement — Early nationalists and the Moderate Phase of the Indian National Movement. Rise of Extremists including :contentReference[oaicite:2]{index=2}, :contentReference[oaicite:3]{index=3}, and :contentReference[oaicite:4]{index=4}. The Gandhi Era including the Non-Cooperation Movement, Civil Disobedience Movement, and Quit India Movement. Contributions of :contentReference[oaicite:5]{index=5} and the Indian National Army (INA). Partition of India and Independence. Unit IV: Indian Culture and Heritage — Indian art and architecture with special reference to Mughal architecture, colonial architecture, and post-independence developments. Literature including medieval Persian literature, Indian Writing in English, and regional literature. Music and dance traditions including folk music and folk dances. Religion and philosophy with emphasis on modern religious movements. Developments in science and technology during medieval and modern India.

Psychology of Abnormal Behavior (240/PSY/MD201) — 3 Credits | 75 Marks. An introduction to psychological disorders covering definitions and models of abnormality, major categories of mental disorders (anxiety disorders, mood disorders, psychotic disorders, personality disorders), causes, symptoms, and treatment approaches including psychotherapy and pharmacotherapy.

MINOR

Introduction to Data Science Syllabus – Unit-wise Topics

Introduction to Data Science (Minor | 240/CS/MI201) — Course Code: MIC-2 | Category: Minor Course | Course ID: 240/CS/MI201 | 2 Credits | 50 Marks (Theory Internal: 15 marks | Theory External: 35 marks) | Duration: 2 hrs. This Minor Course introduces data science fundamentals including data types, Python basics, and data analysis using NumPy, Pandas, and visualization tools. Exam Note: The examiner will set nine questions in total. Question one will have seven parts from all units and the marks of the first question will be 20% of total marks of the Question Paper. The remaining eight questions are set by taking two questions from each unit, each carrying 20% of total marks. Students attempt five questions in total, the first being compulsory and selecting one from each unit. Course Objectives: To explore data types, Python fundamentals, special data formats, and advanced data manipulation using NumPy, Pandas, and data visualization tools for effective data analysis and presentation. Unit I: Data Types and Big Data — Understanding data, types of data, data evaluation, data sources, preparing and gathering data, digital data, introduction to big data, sources of big data, and characteristics of big data including Volume, Velocity, Variety, Veracity, and Value. Important Topics: Types of Data, Data Sources, Big Data, Characteristics of Big Data (5 V's). Unit II: Python Fundamentals — Python program execution environment, Python statements, expressions, flow control statements, functions, and scope of variables. Important Topics: Python Execution Environment, Control Statements (if, loops), Functions, Scope of Variables. Unit III: Python Data Structures — Lists and list methods, tuples and tuple methods, arrays, dictionaries and dictionary methods, sets and related methods, strings, and string processing methods. Important Topics: List and List Methods, Tuples, Dictionaries, Sets, String Functions. Unit IV: NumPy, Pandas and Data Visualization — Introduction to NumPy, features of NumPy, mathematical and statistical functions, nd-arrays, introduction to Pandas, features of Pandas, Series data structure, DataFrames, creation and manipulation of DataFrames. Data visualization using Matplotlib including graph plotting, legends, colors, and labels. Introduction to Seaborn, Plotly, and Dash packages for advanced visualization. Important Topics: NumPy Features, ndArray, Pandas Series, DataFrame Creation and Manipulation, Matplotlib, Seaborn, Plotly.

FAQs on B.Sc. Physical Science Semester 2 Syllabus – Gurugram University (GU)

  • What are the core subjects in B.Sc. Physical Science Semester 2 at Gurugram University? The core subjects in B.Sc. Physical Science Semester 2 at Gurugram University are: (1) Electricity and Magnetism (240/PHYP/CC201) — covers vector fields, electric field, Gauss's law, polarization, Lorentz force, Biot-Savart law, Faraday's law, and Maxwell's equations. (2) Algebra (240/MATP/CC201) — covers matrices, eigenvalues, linear equations, polynomial equations, and number theory. (3) Chemistry-II (240/CHEP/CC201) — covers molecular orbital theory, hydrocarbons, gaseous state, liquid state, and solid state chemistry.
  • What is the syllabus for Electricity and Magnetism in B.Sc. Physical Science Semester 2 at GU? Electricity and Magnetism (240/PHYP/CC201) in B.Sc. Semester 2 at GU is a 3-credit, 50-mark course (Internal Assessment 25 marks). Unit I: Scalar and Vector fields, Gradient, Divergence, Gauss's theorem, Stokes' theorem, Electric field, Laplace and Poisson equations. Unit II: Electric flux, Gauss's Law, polarization, dielectric materials, electric displacement, susceptibility and permittivity. Unit III: Lorentz force, Biot-Savart's law, Ampere's law, Faraday's law, self and mutual inductance. Unit IV: Magnetization vector M, magnetic intensity H, magnetic susceptibility, B-H curve, hysteresis, Maxwell's equations, displacement current, Poynting vector.
  • What is the syllabus for Basics of Programming in B.Sc. Physical Science Semester 2 at GU? Basics of Programming (240/PHY/SE201-A) is a SEC course in B.Sc. Physical Science Semester 2 at GU. Unit I: Python basics — interpreter, print statement, variables, strings, data types, data conversion. Unit II: Operations — lists, comparison operations, logical operations, mathematical operations. Unit III: Control Flow — sequencing, iteration, selection, for/while loops, if/elif/else, break/continue. Unit IV: Functions — built-in and user-defined functions, list/string functions, dictionaries, tuples, sets, list comprehensions. Practice programs include simple calculator, Ohm's Law, and SHM.
  • What is taught in Environmental Studies in B.Sc. Physical Science Semester 2 at GU? Environmental Studies (240/EVS/VA201) is a 2-credit, 50-mark mandatory Value Added Course in B.Sc. Semester 2 at GU. Unit I: Basic concepts — environment, habitat, biosphere, atmosphere, lithosphere, hydrosphere, abiotic/biotic factors, renewable/non-renewable energy. Unit II: Ecosystem — types, functions, energy flow, food chains/webs, biogeochemical cycles, biological invasion. Unit III: Population — density, natality, mortality, carrying capacity, sustainable development. Unit IV: Environmental pollution — air, water, soil, noise, plastic and marine pollution, solid waste management, ozone depletion, global warming.
  • What is the syllabus for Introduction to Data Science (Minor) in B.Sc. Semester 2 at GU? Introduction to Data Science (240/CS/MI201, MIC-2) is a 2-credit, 50-mark Minor Course in B.Sc. Physical Science Semester 2 at GU (2-hour exam). Unit I: Data Types — understanding data, types, data evaluation, data sources, preparing and gathering data, Digital Data, Introduction to Big Data. Unit II: Python Fundamentals — program execution environment, statements, expressions, flow of control statements, functions, scope of variables. Unit III: Special Data Formats — list, list methods, tuples, tuple methods, arrays, dictionaries, sets, strings, string processing methods. Unit IV: NumPy and Pandas — mathematical/statistical functions, nd-arrays, Pandas series, data frames, data visualization using Matplotlib, Seaborn, Plotly and Dash.
  • What MDC can I choose in B.Sc. Physical Science Semester 2 at GU? Options are: Introduction to Indian History and Culture-II (240/HIS/MD201) or Psychology of Abnormal Behavior (240/PSY/MD201). One MDC is selected from the pool. MDC carries 3 credits and 75 marks.