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Main
UQU Programs
Data Science

Web Data Analysis

DS2303
3 hours English

Web Data Analysis

Web Data Analysis
DS2201 Introduction to Database
3 hours No requisites
DS1103 Advanced Programming for Data Science
3 hours One requisite
1 Introduction to Web and Internet
2 HTML basics
3 CSS basics
4 Javascript basics
5 Creating, Styling, and Validating Web Forms
6 Server-side development
7 Connecting and interacting with databases
8 Introduction to Web Analytics, types, tools and goals
9 Web Analytics Tools
10 Clickstream Data Collection Techniques
11 Web Analytics Metrics
12 Deriving Actionable Insights
13 Web analytics case studies
14 Web analytics tools (Google analytics)
15 Project Discussion
1.1 Mapped to: K1

Students learn how to build static web sites using HTML and CSS

Teaching Strategy Lectures, tutorial, labs
Assessment Methods Quiz, lab evaluation, projects
1.2 Mapped to: K1

Students learn JavaScript to validate forms and to manipulate html elements

Teaching Strategy Lectures, tutorial, labs
Assessment Methods Quiz, lab evaluation, projects
1.3 Mapped to: K1,K3

Students will learn basic techniques and metrics to conduct analysis on web data such as server log analysis, cookies, page tagging and tracking pixels

Teaching Strategy Lectures, tutorial, labs
Assessment Methods Quiz, lab evaluation, projects
2.1 Mapped to: S2

Build basic Web applications using HTML, CSS, and JavaScript to build the application front-end, and JavaServlet and JSP to build the application back-end.

Teaching Strategy Lectures, tutorial, labs
Assessment Methods Quiz, lab evaluation, projects
2.2 Mapped to: S2,S4

Be able to use different design programs.

Teaching Strategy Lectures, tutorial, labs
Assessment Methods Quiz, lab evaluation, projects
3.1 Mapped to: V3

Work effectively in a group.

Teaching Strategy Lab exercises
Assessment Methods Lab exercises
3.2 Mapped to: S1

Be able to understand and use different tools for web analytics

Assessment
Weight
Project
20%
Lab exersize
20%
Midterm
20%
Final
40%
Total
100%