Learning Objectives

• You will be able to explain the relationship between the strategy of the firm and its information systems

• You will be able to describe and explain the application of various technologies used in the business world today.

• You will have a basic understanding of the technology infrastructure that enables businesses to innovate using technology

• You will be able to explain the benefits of several different classes of commonly used information systems

• You will have knowledge of and would have used some personal and business productivity/collaboration tools

• You will be able to identify and suggest appropriate responses to managerial and organizational issues stemming from the development, implementation, and use of computer-based information systems

Tools & Techniques

• MySQL

• Miro

• Business Model

• Canvas

Concepts

• Network Effects

• Total Cost of Ownership

• Long Tail

• Data Mining Overview

• Business Intelligence

Learning Objectives

• Develop an understanding and appreciation of the social media ecosystem

• Develop capabilities in measuring the value of social media to various firms

• Critically evaluate business opportunities that include the use of or potential use of social media

• Understand common Internet advertising models

• Develop an appreciation of the business impact of privacy and personalization

• Learn how Big Data created in the social media context enables predictive analytics and apply this knowledge to real-world settings.– Possess a strong sense of how web 2.0 affects business models of firms

• Develop entrepreneurial and design skills to help find a new social business

Tools & Techniques

• Instagram

• Google Ads

• Gephi

• Data Robot

• Content sharing strategies on social media

• Estimating the value of social media metric

• Running online advertising campaign through Google Ads

• Methods to analysis social network graphs

• Social media data analytics

(Exposure to Shark Tank)

Concepts

• Web 2.0

• Value of social media

• Pay-per-click

• Social network analysis

• Corporate social media policies

• SEO

• Platform responsibilities

• Digital communities

Learning Objectives

• Understand and help articulate the data needs of the company (requirement analysis)

• Conceptually model the relationship of the data (data modeling).

• Implement the database (implementation)

• Query databases to meet business requirements

• You will also get an introduction to Big Data, data science, machine learning, and several implementations of predictive business analytics in this course

Tools & Techniques

• SQL

• MySQL Workbench

• Requirement analysis

• Entity-Relationship Modeling

• Query Databases

Concepts

• Data Storage/Modeling/Retrieval

• Relational Model

• Normalization

• Non-Relational Databases

• Big Data, Machine Learning and Data Mining Overview

Learning Objectives

• Learn the foundations of systems analysis, including methodologies

• Explore the various requirement gathering strategies and methods to define a detailed list of nonfunctional and functional requirements for an information system

• Understand the various "views" of the system and how they are interconnected

• Learn to decompose the system into a series of models including functional, structural models, and behavioral models for an information system using UML

• Understand principles of user/human-centric design and build a visual prototype that conveys the look and feel of the proposed application

Tools & Techniques

• LucidChart

• MS Visio

• MS Teams

• Prototyping tool (Figma, Adobe XD)

• Use Case Diagram

• Class Diagram

• Sequence Diagram

• Medium fidelity prototype

Concepts

• Systems Request and Requirements Gathering and Definition

• Feasibility Analysis

• System development lifecycle and methodologies

• Functional, structural and behavioral modeling

• Design framework - human-centered design, design fidelity

Learning Objectives

Tools & Techniques

Concepts

Learning Objectives

• Advance understanding of the role of data for modern decision-making

• Learn ways to ethically collect data and obtain insights from it by applying programming-based solutions

• Understand the differences between different types of analysis and core questions that they answer

• Build skills in (a) hand-on data analytics, and (b) telling stories using data visualisation

• Develop confidence in conducting comprehensive data science projects targeted at obtaining actionable insights for business

Tools & Techniques

• Python (Spyder or Jupyter Notebook)

• Collecting data (including ethical considerations)

• Data preprocessing and cleaning

• Python for statistical inference

• Python for supervised machine-learning

• Model fine-tuning (including boosting techniques)

• Trouble-shooting

• Model interpretation using SHAP

Concepts

• Variables and descriptive statistics

• Statistical analysis and inference

• Supervised machine-learning

• Boosting

• Linear and Logistic regressions

• KNN, SVM

• Trees, Forests

• Lasso, Ridge

• Cross validation

Learning Objectives

Tools & Techniques

Concepts

Learning Objectives

• You will learn about designing technological solutions and the interaction between technology and people who use them

• Human-centered design framework that focuses on developing a deep understanding of people, technology, and society will be used

• Students will be introduced to the 4 stages of the user interface design cycle as they design mobile information systems during the semester

Tools & Techniques

• Miro

• Figma

• Slack

• Journey Mapping

• Sketching

• Storyboarding

• Wireframing

• Prototyping

Concepts

• Journey Mapping

• Sketching

• Storyboarding

• Wireframing

• Prototyping

• Human-centered design framework

• User research, user testing and feedback

Learning Objectives

• Work in a team

• Solve problems (with real clients)

• Tell your story

Tools & Techniques

• Microsoft Power Platform

• Python for ML

• Power BI/Tableau

• RPA

• Blockchain

• Create Issue Trees/ Project Plans

Concepts

• Tech consulting

• Project/team/client management

Learning Objectives

• Students will be introduced to key managerial and technical aspects of information security and cybersecurity with a constant focus on frameworks and techniques for effectively detecting, managing and mitigating information security threats

Tools & Techniques

• Various Security Apps

• Nmap

• Register

• Axcrypt

• Ripper

• EncryptionApp

• HashingApp

• Cyber Attack Analysis

• Denial of Service Protection

• Encryption for confidentiality

• Encryption for authentication

• Business Continuity and Disaster Recovery Planning

Concepts

• Threats to Information Security

• Dealing with attacks

• Cryptography

• Access Controls

• Data Protection