MSU-Courses

The following is coursework that I have completed at MSU

Mathematics

Calculus

Calculus

Calc 1 MTH 132

Wait why cant my answer be in cm/s^2??

concepts:

1. Functions and Limits (ch 1)
2. Derivatives (ch 2)
3. Applications of Differentiation (ch 3)
4. Integrals and Applications (ch 4)

GPA: 4.0

Calc 2 MTH 133

These series problems are fun!

concepts:

1. Applications of Integration (ch 5)
2. Inverse Functions (ch 6)
3. Techniques of Integration (ch 7)
4. Further Applications of Integration (ch 8)
5. Infinite Sequences and Series (ch 9)
6. Parametric Equations and Polar Coordinates (ch 10)

GPA: 4.0

Calc 3 MTH 234

A lot of intresting 3D math. Atleast i didn't have to prove anything... yet. (Intresting period of LIFE LMAO)

concepts

1. Vectors and Geometry of Space (ch 12)
2. Vector Functions (ch 13)
3. Partial Derivatives (ch 14)
4. Multiple Integrals (ch 15)
5. Vector Calculus (ch 16)

GPA: 3.5

Differential Equations MTH 235

Solved a lot of long problems. SMH. (without a calculator 😡)

concepts

1. Separable and exact equations.
2. Linear equations and variation of parameters.
3. Higher order linear equations. Laplace transforms.
4. Systems of first-order linear equations.
5. partial differential equations and Fourier series.

GPA: 4.0

Matrix Algebra MTH 314

at least we are not solving these in pencil and paper!

concepts

1. Martix multiplication.
2. Separable and exact equations.
3. Steady state and Markov chains.
4. Gaussian elimination.
5. Jordan form.
6. Matrix Transformations.
7. Eigenvalues and Eigenvectors.
8. Projections.
9. Matix Decomposition.
10. Least fit and Least squares.
11. Polyfits and Least squares.
12. Singular Value Decomposition.

GPA: 4.0

Introduction to Formal Proofs(Transitions) MTH 299

Started solving long proofs.

Concepts

1. Introduction to Proofs.
2. Disproving conjectures
   1. Counterexamples
3. Direct proof
4. Proof by Contrapositive/Contraposition
5. Proof by Contradiction
6. Proof by Cases
7. Proof by Induction
8. Truth tables

Statistics for Engineers MTH 351 (pilot course)

Still computing if P(Life) == 42

Concepts

1. Probability Distributions
2. Conditional Probability
3. Bayes Theorem
4. Random Variables
5. Expectation
6. Variance
7. Standard Deviation
8. Covariance
9. Correlation
10. Normal Distribution
11. Binomial Distribution
12. Poisson Distribution
13. Exponential Distribution
14. Uniform Distribution
15. Chi-Squared Distribution
16. Student's t Distribution
17. Set Theory
18. Regression

Higher Level Courses

Abstract Algebra I MTH 310

we have come far from counting just sheep.

Concepts

1. Arithmetic
2. Algebraic structures
   1. Rings
   2. Groups
   3. Abelian groups
   4. Fields
3. Fermat's theorem
4. Congruence
5. Modular arithmetic
6. Ideals

GPA: 4.0

Computer Science

Intro to Computer Science 2 CSE 232

(TO THE MOON! 🚀) C++ concepts. using STL algorithms to solve problems.

Concepts:

1. Projects:
   1. Specilized Strings
   2. Bank account Calculator
   3. Crypto Bot Trader
2. Lambda Functions
3. Sorting functions
4. references
5. CMath
6. Streams
7. Itterators
8. Advanced Types
9. Dynamic Memory
10. Object Oriented Programming

GPA: 4.0

Discete Mathematics CSE 260

Logic and counting??? Kinda wack.

Concepts:

1. Sets
2. Predicate logic
3. Logical Proofs
4. Number theory
5. Counting
6. discrete probability
7. Combinatorics

GPA: 4.0

Computational Modeling and Data Science CMSE 201

Python is kinda fun.

Concepts:

1. Intro to Python
2. Using Python to solve problems
3. Python Libraries
   • Numpy
   • Scipy
   • Matplotlib
   • Pandas
   • Seaborn
4. Data Analysis
   • Data Cleaning
   • Data Visualization
   • Data Modeling
   • Data Prediction
5. Modeling with ODE's(Ordinary Differential Equations)
6. Agent Based Modeling

Project(100%):

• Using Genetic Algorithms to solve the traveling salesman problem
  

GPA: 4.0

Computational Modeling and Data Science 2 CMSE 202

Python is but with OOPS.

Concepts:

1. Python Objects
2. Comand Line Interface
3. Git & Git Workflow
4. Agent Based Modeling
5. Graph Theory
6. One-Dimension Regression
7. Multiple Regression
8. Logistic Regression
9. Machine Learning
10. Classification
11. Principal Component Analysis
12. Support vector machine

Project:

• Using Genetic Algorithms to develop a strong player for catan
  

GPA: 4.0

Computer Architecture and Organization CSE 320

Circuts are fun for sure. Assembly depends on the day.

Concepts:

1. Instruction set architecture
2. logical circuit design
3. Circuits
   1. Karnaugh maps
   2. Decoders/Encoders
   3. Multiplexers/Demultiplexers
   4. Adders/Subtractors
   5. Comparators
   6. Shifters
   7. SR/D Latches
   8. Flip Flops
   9. 4-bit processor core
   10. Finite State Machines
   11. Sequential Circuits
   12. Register Files
   13. ALU's
   14. Formats
4. Systems Programming
   1. Unix
   2. Memory Organization
   3. Memory Leaks
   4. C
   5. ARM Assembly
   6. ASM Stacks
   7. Game of Life in ARM Assembly
   8. ASM GDB debugging
   9. Floating Point
   10. Burning Ship Fractal

GPA : 4.0

Data Structures and Algorithms CSE 331

O(FUN)

Concepts:

1. Linked Lists
2. Hash Tables
3. Sorting Algorithms
4. Queues
5. Stacks
6. Trees
7. Heaps
8. Graphs
   1. Topological Sort
   2. Dijkstra's Algorithm
   3. A* Search
   4. DFS
   5. BFS

GPA: 4.0

Computer Science Ethics CSE 300

Do no bad things.

Concepts:

1. Ethical Issues in Computer Science
2. Freedom of Speech
3. Ethical Foundations
4. Privacy
5. Intellectual Property
6. Security
7. Ethics in Data Science and Machine Learning
8. Environmental Responsibility
9. Bias
10. Quality and Risk
11. Professional Ethics and Responsibilities
12. Impact of Data and Computing

3 essays

GPA: 4.0

Computer Systems CSE 325

A lot of computer things are just made up.

Concepts

1. Architecture
   1. Processors
      • CPU organization
      • Instruction sets
      • Interrupts and interrupt handeling
   2. Memory
      • Memory and Memory Hierarchy
      • Cache Organization
      • Virtual Memory and Implementations
   3. Input/Output
      • Local I/O and DMA
      • Network I/O
2. Operating Systems
   1. Processes
      • Process elements and time scling
      • Role of the process control block
      • System calls
      • Signals
   2. Kernal Operations
      • Process Scheduling
      • Process Creation/Termination
      • Managing Virtual Memory
      • Deadlocks
   3. File Systems and Virtualization
      • File System Organization and structure
      • Role of the file system in virtualization
      • Virtualization and Virtual Machines
3. Concurrency and Networking
   1. Threads and multi-threaded programming
      • User-level threads
      • Kernel-level threads
      • POSIX threads(Pthreads)
      • Concurrency control mechanisms
   2. Packet Switching and Internet Protocal
      • Packet switching
      • Circuit switching
      • Internet Protocal Stack
      • IP Addressing and Internet routing
      • TCP and reliable communication
      • Sockets, DHCP, DNS, NAT and HTTP

LAB's(100%):

1. Caching
2. Signals and Processes
3. Pthreads and Deadlocks

GPA: 4.0

Software Engineering CSE 335

Coding Coding Coding Coding Coding Coffee Coding

Concepts:

1. Introduction to Object Oriented Programming
2. Pointer and Smart Pointers
3. Unit Testing and Debugging
4. wxWidgets Library and GUI
5. XML saving and loading
6. Design Patterns
   1. Itterator Pattern
   2. Visitor Pattern
   3. Observer Pattern
7. Keyframe Animation
8. UML Diagrams

Projects(100%):

1. Angry Sparty ( 1 Month Approx. [421 Commits])
   • Led a team of 4 to create a game using wxWidgets and BOX2D
   • Won the Design Award
   • Designed UML Diagrams

2. Harold's Magic Musical Machine Design (3 Days)

   • Built a UML Diagram for the project.
   • Lead a team of 4 to create and optimize the design.

3. Harold's Magic Musical Machine Implementation (1 week [48 Commits])

   • Built the project using wxWidgets
   • Hell week
   • 100+ hours of work

GPA: 4.0

Self Taught DSA

Concepts:

1. Dynamic Programming
2. Greedy Algorithms
3. A lot more graphs

Self Taught System Design

Concepts:

1. Load Balancing
2. Caching
3. Client Server Model
4. Storage and Database
5. Availability, Scalability, Latency, Throughput and Consistency
6. Replication and Sharding
7. Proxies and Reverse Proxies
8. Peer to Peer Networking
9. Polling and Streaming (sockets)
10. Network Protocols