3-Course Web Development Boost Program

STARTS ON
June 15, 2020

DURATION
10 weeks, live online instructions

BUNDLE PRICE
Special offer $2,380 (value of $4,740)

Intro to Computing

(Introductory Python)

Course Overiew

This course provides a foundation for professional programming in Python. Students will build confidence in writing Python programs to tackle real-world problems in a broad range of fields. Topics include computer basics, Internet and website programming, common algorithms, Python data structures, strategies for testing and debugging, how to use packages, and object-oriented programming. Students will get hands-on experience working on industry-oriented projects, like automation with selenium in Python, and building web apps using Python frameworks (e.g. Flask). There are no prerequisites for this course.

Instructors

Kannan Sankaran worked as a Senior Software Engineer, Machine Learning, at Xandr (AT&T), where he used Scala, Java, Python, SQL, Hadoop, and Spark. He has a Master’s in Computer Science from Florida State University and a Bachelor’s in Instrumentation Engineering from Swami Vivekanand College, Mumbai University. Kannan is passionate about Data Science and Artificial Intelligence, and hopes to become a fortune teller one day through analyzing data.

Kannan Sankaran

Dr. Zheng Qu acquired his doctoral degree in Atmospheric Science from the University of Chicago, and brings 20 years of research experience in both academics and industry to the Data Science Department. Dr. Qu served as a research scientist at the University of Colorado at Boulder, and later joined NASA’s Jet Propulsion Laboratory as a Senior Physics Engineer, where his research focused on satellite data simulation and earth science data engineering and analysis.

Dr. Zheng Qu

Date & Time

June 15 to August 21 (10 weeks)
Mondays, 7 p.m – 9 p.m. EST
Fridays, 7 p.m. – 9 p.m. EST

Course Design

This 10-week course will be delivered online due to the COVID-19 pandemic. The instructor will present three live lectures each week, and will be accessible online during specified times. Students should also be prepared to spend several hours per week outside of lecture time to learn the materials and complete the assignments. A final exam or project is included in the course. Students must use their own computers to complete all course requirements.

A Proof of Completion will be provided upon completing all course requirements.

Content Overview

Week 1: Basics of a computer
Week 2: Introduction to Programming and Problem Solving
Week 3: Elements of Python
Week 4: Python objects
Week 5: Numerical Types, Mid-Course Examination
Week 6: Branching and Method Algorithm Design

Week 7: Arrays and Looping
Week 8: Object-Oriented Software Engineering
Week 9: Software Testing
Week 10: Ethical and social implications of computer use
End of Course Examination: Aug 24 – Aug 28

**Instructor reserves the right to make adjustments to the course content and will make every effort to inform the students of the changes in a timely manner.

Web Development

(JavaScript, ReactJS, Angular, Agile)

Course Overiew

This course focuses on web app development with rich user interfaces using advanced JavaScript frameworks such as ReactJS and Angular, along with integration to cloud-based data storage for building out a complete end-to-end solution. Students will also participate in immersive, industry-oriented, hands-on projects, where they will experience Agile programming methods, code review, automated testing, and more. There are no prerequisites for this course.

Instructors

Amos Chen is a vice president for web development at Lazard Asset Management. He has more than 14 years of experience working both as a software engineer and web developer for leading tech companies, including Fino Consulting (Therm) and Xero. He has expertise in full stack web-based solutions, extensive systems integration, and middleware capabilities. Amos obtained his Bachelor's in Computer Science from University of Auckland in 2003.

Amos Chen

Date & Time

June 15 to August 21 (10 weeks)
Tuesdays, 5:30 p.m. – 6:45 p.m. EST
Thursdays, 5:30 p.m. – 6:45 p.m. EST
Saturdays, 9:30 a.m. – 10:45 a.m. EST

Course Design

A Proof of Completion will be provided upon completing all course requirements.

Content Overview

Week 1: Introductory web development
Week 2: Bootstrap CSS Framework and jQuery
Week 3: Modern web development
Week 4: Introduction to ReactJs
Week 5: Mid-Course Exam
Week 6: ReactJs Redux design pattern

Week 7: Introductory RESTFul API
Week 8: Authentication and authorization
Week 9: Data persistence storage
Week 10: DevOps As Code
End of Course Examination: Aug 24 – Aug 28

**Instructor reserves the right to make adjustments to the course content and will make every effort to inform the students of the changes in a timely manner.

Cloud Computing and Big Data

(SQL, Hadoop, Amazon Web Services – AWS, Azure)

Course Overiew

This course covers the core concepts and relevant programming skills needed for cloud computing and big data, and introduces the two main cloud providers: Amazon Web Services and Microsoft Azure. Students will also learn the technologies, platforms, and methods involved in data analysis, acquisition, storage, visualization, and management using SQL, Hadoop, and MapReduce. There are no prerequisites for this course.

Instructors

Dr. Suman Srinivasan is currently a senior software engineer at Microsoft. He previously spent years working in the financial industry at Goldman Sachs and Merrill Lynch, and worked at an online video startup prior to that. He obtained his doctoral degree in Computer Science from Columbia University in 2011. He is the author of more than 10 research publications (IEEE, ACM) and holds 2 patents.

Dr. Suman Srinivasan

Date & Time

June 15 to August 21 (10 weeks)
Mondays, 10:30 a.m. – 12:30 p.m. EST
Wednesdays, 10:30 a.m. – 12:30 p.m. EST

Course Design

This 10-week course will be delivered online due to the COVID-19 pandemic. The instructor will present two live lectures each week, and will be accessible online during specified times. Students should also be prepared to spend several hours per week outside of lecture time to learn the materials and complete the assignments. A final exam or project is included in the course. Students must use their own computers to complete all course requirements.

A Proof of Completion will be provided upon completing all course requirements.

Content Overview

Week 1: Intro to Cloud Computing
Week 2: IaaS, PaaS, SaaS; public, private, hybrid clouds
Week 3: Relational & Non-Relational (incl SQL)
Week 4: Intro to Big Data: Hadoop, MapReduce
Week 5: Intro to Big Data: Spark, etc
Mid-Course Examination

Week 7: Lab / hands-on: Cloud computing
Week 8: Lab / hands-on: Databases, SQL & Big Data
Week 9: Student project presentations
Week 10: Student project presentations
End of Course Examination: Aug 24 – Aug 28

**Instructor reserves the right to make adjustments to the course content and will make every effort to inform the students of the changes in a timely manner.