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University algorithms, data structures, exercises and assignments

Python 4.47% Jupyter Notebook 89.34% HTML 0.17% Java 4.89% Shell 0.01% PLpgSQL 0.01% JavaScript 0.05% C 0.38% Solidity 0.68%
fer college university student

college-labs's Introduction

College graduation cap

College Labs

Courses

Each course had a practical component.
May they help future generations and my future self.

APR (eng. Computer Aided Analysis and Design)

  • Solve systems of linear equations -> matrix manipulation, forward and back substitution, LU and LUP decomposition
  • Single variable nonlinear function optimization -> golden section search, Nealder-Mead simplex method, Hooke-Jeeves method
  • Multiple variable nonlinear function optimization -> gradient descent, Newton-Raphson method
  • Constrained optimization -> Box method, constrained problem transformation
  • Genetic/evolutionary algorithm -> representation, crossover, mutation, optimal parameter search
  • Numerical integration -> Runge-Kutta methods

FMOS (eng. Formal Methods in System Design)

  • Propositional logic, predicate logic, Computation Tree Logic (CTL), Kripke structure
  • NuSVM language and programming
  • Linear Temporal Logic (LTL), fixed point theory
  • JavaPathFinder tool and programming
  • Hardware Description Language (VHDL), Verilog
  • Promela language and Spin tool
  • Binary Decision Tree (BDD), Reduced Order BDD (ROBDD), ITE algorithm
  • DPLL, GRASP and Chaff methods

NMBP (eng. Advanced Databases)

  • Text search
  • Advanced SQL -> aggregate functions, OVER, PARTITION BY, BY ROWS, BY RANGE, Common Table Expressions (CTE)
  • Object, spatial and temporal databases
  • Two Phase Commit Protocol (2PC)
  • NoSQL databases -> document, column family, graph databases
  • MapReduce algorithm and combinable reducers
  • Fragmentation and replication
  • Consistency, Availability, Partition tolerance (CAP) and Basically Available, Soft state, Eventually consistent (BASE)
  • Semantic web -> Resource Description Framework (RDF), Turtle and OWL language

NOS (eng. Advanced Operating Systems)

  • Communication between processes -> message queues, pipelines
  • Mutual exclusion in distributed systems -> Lamport's distributed protocol, Ricart-Agrawala protocol
  • Cryptography -> security demands, DES, AES, block ciphers, RSA, Miller-Rabin primality test, digital envelope, signature and seal, hash functions
  • Security protocols -> Diffie-Hellman protocol, Needham–Schroeder protocol, Kerberos protocols, PKI
  • RAID

PP (eng. Parallel Programming)

  • Introduction to High Performance Computing (HPC) -> parallel programming models, properties and sequential to parallel conversion
  • Message Passing Interface (MPI) -> process communication, MPI functions, blocking and non-blocking
  • Parallel Random Access Machine (PRAM) -> synchronous and asynchronous, *_reduce algorithm
  • Designing parallel programs -> phases, hypercube algorithm, N-tree algorithm
  • Quantitative analysis of parallel algorithms -> time to execute, efficiency and isoefficiency, speedup, scalability

RASSUS (eng. Distributed Systems)

  • Distributed systems and their processes
  • Pull and push model; UDP, TCP, RPC, RMI
  • Direct and indirect process communication using messages; subscribe-publish model
  • CGI, AJAX, SSE, WS, web services, SOAP, WSDL, UDDI, SOA and REST
  • Scalar and vector clocks
  • Byzantine fault, 2PC and 3PC, consistency and replication
  • Queue theory and PDQ simulator

RGKK (eng. Distributed ledgers and cryptocurrencies)

  • Blockchain and cryptography
  • Consensus, forks and mining
  • Bitcoin, Bitcoin protocol and Script language
  • Ethereum, smart contracts and Solidity language
  • Finance, proof-of-X, alt-coins and scaling

SU (eng. Machine Learning)

  • Linear regression, cross validation, feature, model and hyperparameter analysis
  • Logistic regression, one-vs-one, one-vs-rest classification
  • Support vector machines, kernel functions, K nearest neighbours
  • Ensambles, maximum likelihood and aposteriori estimators
  • Probabilistic graphical models, clustering

Legend

DES -> Data Encryption Standard
AES -> Advanced Encryption Standard
RSA -> Rivest–Shamir–Adleman
PKI -> Public Key Infrastructure
RAID -> Redundant Array of Inexpensive Disks

UDP -> User Datagram Protocol
TCP -> Transmission Control Protocol
RPC -> Remote Procedure Call
RMI -> Remote Method Invocation
CGI -> Common Gateway Interface
AJAX -> Asynchronous JavaScript and XML
SSE -> Server Sent Events
WS -> Web Socket
SOAP -> Simple Object Access Protocol
WSDL -> Web Service Description Language
UDDI -> Universal Description Discovery and Integration
SOA -> Service Oriented Architecture
REST -> Representational State Transfer
2PC, 3PC -> 2/3 Phase Commit
PDQ -> Pretty Damn Quick

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