Janet Fang | Resume

NOVICE

BEGINNER

COMPETENT

PROFICIENT

EXPERT

C/C++

PYTHON

SWIFT

HTML/CSS

Programming Languages and Skills

Computer Science Student at UCLA

August 2016 - June 2017

PIED PARKER

Conduct unit tests for the Pied Parker app (marketplace
connecting people who want to rent out their private parking
space with people who are looking in that local); scrape the world wide web for parking space listings and compiled into a database.

SUMMER 2020 INTERNSHIPS CANCELLED DUE TO COVID

Working Experience

Fall 2019

CS 31: INTRO TO COM SCI I.

Basic data types, operators and control structures. Input/output. Procedural and data abstraction. Introduction to object-oriented software development. Functions, recursion. Arrays, strings, pointers. Abstract data types, object-oriented programming. Examples and exercises from computer science theory and applications.

Winter 2020

CS32: INTRO TO COM SCI II

Object-oriented software development. Abstract data type definition and use. Overloading, inheritance, polymorphism. Object-oriented view of data structures: stacks, queues, lists. Algorithm analysis. Trees, graphs, and associated algorithms. Searching and sorting. Case studies and exercises from computer science applications.

Spring 2020

CS33: COMPUTER ORGANIZATION

Introductory course on computer architecture, assembly language, and operating systems fundamentals. Number systems, machine language, and assembly language. Procedure calls, stacks, interrupts, and traps. Assemblers, linkers, and loaders. Operating systems concepts: processes and process management, input/output (I/O) programming, memory management, file systems.

Summer 2020

CS111: OPERATING SYSTEMS PRINCIPLES

Introduction to operating systems design and evaluation. Computer software systems performance, robustness, and functionality. Kernel structure, bootstrapping, input/output (I/O) devices and interrupts. Processes and threads; address spaces, memory management, and virtual memory. Scheduling, synchronization. File systems: layout, performance, robustness. Distributed systems: networking, remote procedure call (RPC), asynchronous RPC, distributed file systems, transactions. Protection and security. Exercises involving applications using, and internals of, real-world operating systems.

Fall 2020

CS161: FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE

Introduction to fundamental problem solving and knowledge representation paradigms of artificial intelligence. Introduction to Lisp with regular programming assignments. State-space and problem reduction methods, brute-force and heuristic search, planning techniques, two-player games. Knowledge structures including predicate logic, production systems, semantic nets and primitives, frames, scripts. Special topics in natural language processing, expert systems, vision, and parallel architectures.

FALL 2020

CS181: FORMAL LANGUAGES AND AUTOMATA

Grammars, automata, and languages. Finite-state languages and finite-state automata. Context-free languages and pushdown story automata. Unrestricted rewriting systems, recursively enumerable and recursive languages, and Turing machines. Closure properties, pumping lemmas, and decision algorithms. Introduction to computability.