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Syllabus WebDev

The program is based on an Academic Bootcamp framework developed and delivered at Reichman University since 2018. The training consists of a combination of academic, university-level courses, and professional, industry-oriented courses. The academic courses are taught by instructors from the Efi Arazi School of Computer Science, and the professional courses by industry experts.

The program provides a theoretical foundation and practical training in the following fields:

  • Computer science fundamentals
  • Data structures and algorithms
  • Python programming
  • Advanced programming techniques
  • Full-Stack web development (mostly JavaScript)
  • Client-side development (mostly React) Server-side development (mostly Node.js)
  • A variety of work-related skills
Academic Section

(Computer science Fundamentals)

PROGRAMMING

Introduction

  • Programming in Python
  • Testing and debugging
  • Image processing
  • File operations
  • NumPy and SciPy

 

Object-Oriented Programming

  • Basic concepts
  • Class design
  • Special methods
  • Inheritance
Advanced Programming

Communications and Networks: OSI model, TCP/IP, UDP, HTTP protocols. Advanced Python programming: Socket programming, Restful APIs, Authentication, Multithreading, Flask and other special Python libraries.

**taught towards the program’s end, following the Professional Section stage described below

THEORY

Algorithms

  • Analysis of algorithms
  • Computational complexity
  • Search and sorting algorithms
  • Inductive reasoning
  • Iteration vs recursion

 

Data Structures

  • Abstraction and implementation
  • Stack, heap, priority queue
  • Hash tables
  • AVL trees
Professional Section

(Full Stack Web)

FRONT END

 

  • HTML:Introduction, HTML tags, tables, classes, HTML Forms
  • CSS: Basic concepts, Layout, text, fonts, pseudo, Position & other properties, CSS3, CSS specificity, SASS, Responsive CSS
  • JAVASCRIPT:Javascript basics, Variables, operators, methods, Functions, arrays, objects, booleans, Events, conditions, debugging, ES6, Working with forms
  • REACT: Basic concepts, Methods and rendering, Components, props, states, Lifecycle, events, forms, Data fetch, React + CSS, styled components
SERVER SIDE
  • Software Development Methodologies: Waterfall, Agile, TDD, SCRUM, Continuous Integration (CI), Continuous Delivery (CD)
  • DATABASE MANAGEMENT: Relational / non-relational models, SQL, MySQL, NoSQL, MongoDB
  • SERVER-SIDE DEVELOPMENT: NodeJS, Web applications, Micro services architecture, Security issues
  • ADDITIONAL TOPICS
Enhance productivity with AI
  • Learn AI concepts: Machine Learning, Generative AI, LLM, AGI and more
  • Capabilities and limitations of current AI tools
  • Using generative AI to summarize content, learn and understand, develop and visualize ideas
  • Human-in-the-loop approach with Gen AI
  • The art of prompt engineering
  • Using Gemini in Gmail, Docs, Slides and other Google Tools
  • Learning with AI assistance: principles for effective learning
FINAL PROJECT

Design and implementation of an industrial-strength client-server application, featuring all the major topics learned in the program.

Additional Topics

Personal Skills

A flexible module that provides training in interpersonal communication skills, English skills, self-study skills, time management, accepting, facing, learning from failure. The methodology is based on short workshops and weekly meetings with professionals, industry leaders, and role models.

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Work Skills

A flexible module that provides training in interviewing techniques, presentation skills, professional writing, industry know-how, teamwork, networking, and hi-tech culture.

Company workshops

A flexible module that orients candidates toward working in specific companies. To be designed and given by the partner companies