View Clemson Coursework (Freshman Year):

Courses taken at Boston University (6)

CS112

Data Structures & Algorithms

  • Purpose: Teach Data structures and algorithms in Java.
  • Emphasis on linked lists, trees, sorting algorithms,
    hash tables, stacks/queues and recursion.
  • Algorithm time/space complexity
    analysis using Big O notation.

Skills:

  • Data Structures
  • Algorithms & Big-O Notation
  • Recursion/Recursive Backtracking

CS131

Combinatoric Structures

  • Purpose: Create combinatoric logic models.
  • Rigorous use of various proof types:
    Inductive, Recursive, Direct, and more.
  • Emphasis on logic, set theory and boolean algebra
    to represent abstract problems.

Skills:

  • Proofs
  • Logic & Counting
  • Discrete Math Applications

CS210

Computer Systems

  • Purpose: Learn C, Assembly and Computer Hardware.
  • Complex understanding of computer hardware
    communicates with software and memory.
  • Heavy usage of bitwise operations,
    C libraries and assembly intructions.

Skills:

  • C Programming
  • CPU, Memory and Cache Architecture
  • Assembly Coding & Stack Tracing

CS237

Probability in Computing

  • Purpose: Use Combinatoric Strutures in Programming.
  • Emphasis on statistics, combinatorics,
    distributions, expectation and variance.
  • Complex distribution applications
    usage to master statistics in Python.

Skills:

  • Distribution Applications
  • Counting & Probability
  • Statistics & Data Analysis

CS460

Database Systems

  • Purpose: Design and understand database systems.
  • Covers relationship modeling, relational math,
    SQL, and QBE.
  • Database internals:
    indexing, query optimization, transaction processing, and concurrency.

Skills:

  • SQL
  • Queries
  • Concurrency Control

CS330

Analysis of Algorithms

  • Purpose: Understand algorithm efficiency and limitations.
  • Emphasis on greedy algorithms, graph algorithms,
    dynamic programming, and network flows.
  • Complex topics like
    NP-completeness, reductions, and approximation algorithms.

Skills:

  • Optimal Algorithm Design
  • Dynamic Programming
  • NP-Completeness

CPSC 1010

Computer Science 1

  • Purpose: Learn computing fundamentals in C.
  • Covers data types and functions, recursion,
    C memory model, and structs.
  • Teaches the basics of computer memory and:
    basic programming using C language and libraries.

Skills:

  • Programming in C
  • Programming Fundamentals
  • Functions & Recursion

CPSC 1020

Computer Science 2

  • Purpose: Master coding in C/C++.
  • Covers C/C++ differences, data structures,
    debugging, and team-oriented projects.
  • Built 4 projects over the semester
    to master modular programming and debugging.

Skills:

  • C++ Programming
  • Team Coding Projects
  • Modular Programming/ Debugging

MATH 3110

Linear Algebra

  • Purpose: Master basics of linear algebra.
  • Covers matrix reduction, calculus,
    vector spaces, and eigenvalues and eigenspaces.
  • Strong emphasis on matrix algebra
    proofs, polynominals, and linear transformations.

Skills:

  • Matrix Algebra
  • Linear Transformations
  • Vectors/Eigenspaces

ECE 1990

Robot Networks

  • Purpose: Study/Improve image classification LLM.
  • Covers Pytorch, SGD, debugging,
    and editing step values for accuracy.
  • Analyzed how LLMs learn and improve
    to better understand AI and machine learning.

Skills:

  • Pytorch
  • LLMs
  • AI/ML