munotes®
Sign in
Home / Syllabus / B.Sc. (Data Science) / SY BSc Data Science / Semester 4 / Mojo

B.Sc. (Data Science) Mojo Syllabus - Mumbai University

This is the SY BSc Data Science syllabus under NEP 2020, in force from the academic year 2025-26. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Mojo Syllabus.pdf
Skill enhancement course · Semester 4 · SY BSc Data Science · 2 credits · 50 marks

Loading syllabus...

Syllabus for Mojo

Skill enhancement course · Semester 4 · SY BSc Data Science · 2 credits · 50 marks

Module I: Basics of Mojo

  • Write a “Hello, World!” program in Mojo. Objective: Get familiar with basic Mojo syntax and printing to the console.
  • Demonstrate use of variable declaration and type annotation in Mojo. Objective: Understand the concept of static typing and variable mutability.
  • Write a function in Mojo to calculate factorial using recursion. Objective: Practice function definitions and recursion in Mojo.
  • Implement basic control flow: if-else and for-loops. Objective: Learn decision making and iteration constructs.
  • Create a Fibonacci series generator using loops. Objective: Work with numerical sequences and loops.
  • Data Types & Structures
  • Demonstrate the use of Tuples and Structs in Mojo. Objective: Explore user-defined types and immutable data structures.
  • Write a Mojo program to swap values using structs. Objective: Practice value encapsulation using struct.
  • Implement a custom data type with methods (like a basic Point struct). Objective: Understand object-like behavior in Mojo.
  • Loops, Functions & Memory Safety
  • Write a function that accepts another function as an argument. Objective: Learn higher-order functions in Mojo.
  • Demonstrate ownership and borrow semantics using memory-safe patterns. Objective: Understand how Mojo ensures memory safety similar to Rust.

Module II: Performance Programming Features

  • Use fn [n] to define a generic function template. Objective: Practice generic programming and templates.
  • Demonstrate the use of @parameter and @constexpr. Objective: Understand compile-time constants metaprogramming.
  • Compare the performance of a Python-style loop vs a Mojo-style loop. Objective: Benchmark performance using %time or similar tools.
  • Numerical & Array Programming
  • Initialize and manipulate buffer[T, n] for static arrays. Objective: Understand fixed-size, low-level memory-efficient arrays.
  • Implement a basic matrix addition using 2D buffers. Objective: Perform linear algebra operations with static buffers.
  • Write a Mojo function to compute dot product of two vectors. Objective: Practice element-wise operations on arrays.
  • AI & Accelerated Computing (Mojo's Strength)
  • Write a basic kernel function in Mojo to multiply two vectors. Objective: Learn about low-level SIMD/vectorized operations.
  • Write a parallel for loop using for (i in grid(0, n)) syntax. Objective: Explore Mojo’s ability to parallelize computation.
  • Use Mojo to define a custom neural layer (basic forward pass simulation). Objective: Apply Mojo in AI/ML use cases with modular compute.
  • Interfacing with Python (Mojo-Python Interop)
  • Call a Python function from Mojo using python blocks. Objective: Understand Mojo's interoperability with Python and reuse existing libraries.
  • Textbooks / Online References:
  • Official Mojo Documentation- https://docs.modular.com/mojo/
  • Mojo Playground- https://playground.modular.com/
  • Towards Data Science – Mojo Articles https://towardsdatascience.com/tagged/mojo
  • Mojo Tutorials by Hugging Face - https://huggingface.co/mojo

References

  • 1 https://docs.modular.com/mojo/manual/variables
  • 2 https://www.theserverside.com/blog/Coffee-Talk-Java-News-Stories-and- Opinions/First-Mojo-Program-AI-ML-Hello-World-Number-Guesser-Modular
  • 3 https://medium.com/@ajeenckyagadewar/mastering-mojo-in-depth-tutorial- e5754b01e62d
  • 4 https://github.com/modular/max/tree/main/tutorials
  • 5 https://refine.dev/blog/mojo-programming-language/#including-additional- languages-optional

Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020, in force from the academic year 2025-26. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 2024 25 DS SEM I & II NEP NEP 2020 syllabus, in force from 2024-25 Read full PDF Read
PDF 2023 24 BSc Data Science Sem V & VI Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
PDF 2021 22 BSc Data Science Sem III & IV Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
Report or request
Done!