Curriculum

Your learning experience will focus on the most important aspects of today’s digital tech world, while gaining insights from instructors and industry leaders.

Program Dates:
June 25 - August 3, 2018

Curriculum

 

Students will build their own custom educational experience by bundling two out of the following four areas specialization, based on their background or interests:

  • Design Thinking: UX/UI
  • New Product Development and Entrepreneurship
  • Artificial Intelligence
  • Data Management & Analytics - Big Data and Small Data

Courses

 

MGMT 163

Entrepreneurship and
New Product Development

Monday and Wednesday Mornings
4-UNITS

New products are the lifeblood of any corporation and the cornerstone of any economy. Without expanding the product portfolio, any modern corporation can quickly succumb to competition and lose significant market share, or even be totally dis-intermediated. This phenomenon has been intensified with the advancements in digital economy. The innovation process has been significantly altered as a result of the impact of digital economy across all industries and markets. While most companies recognize the need for new products, not all such new products that are introduced to the market are successful. And even a smaller percentage can stand the test of time and reach significant market share or achieve resilient popularity. Innovation is one of the key drivers of making new products. We will examine the process of innovation and new product development and discuss the associated paradigms and success factors (through the case and class discussions).

This course is designed to help students deepen their understanding of new product innovation, development, and management. In the course the student will assume the role of a product developer or a product manager focused on developing a -new- concept into a new product (for a start-up or a mature corporation). This product developer/manager identifies, develops, and commercializes a new product according to the material presented in the class and the reading assignments. The course will seek to develop students' critical thinking, decision-making skills, and creativity to develop and launch a successful new product (team project).

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MGMT 180

Introduction to Data Management and
Analytics: Big Data and Small Data

Monday and Wednesday Afternoons
4-UNITS

Analysis of data is becoming a vital component of Business decision-making. As demands change from customers and environmental conditions businesses must be able to quickly react to these changes. The important factors in business decision-making is managing data in a relational database system and turning that data into information after it has been processed to add context, reliance and purpose.

This course uses case studies to review the data challenges business confront and how data management and analytics is used to help make sound management decisions. There are two major components dealing with data. One is data integration and management. This requires an understanding of Relational Database Management Systems, ie. SQL Server, Oracle, DB2, MySQL, etc. and how they are designed for data manipulation, maintenance and storage. The second is data Analytics. This is the process of examing the data to generate information to draw conclusions. These conclusions are made possible by using the various analytic tools currently available, i.e. MS Power Business Intelligence(BI), Hadoop, Tableau, Excel, SAS, etc.

Course Objectives:

    • To gain an understanding of Relational Database Management Systems.
    • To gain an understand and use Structured Query Language.
    • To gain an understanding of Data Analytics and Visualization.
    • To gain an understanding of how managers use analytics to formulateand solve business problems and to support managerial decision making.

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MGMT 180

Design Thinking: UX/UI

Tuesday and Thursday Afternoons
4-UNITS

In this 6 week course, students will be introduced to Design Thinking, which is a process for creatively and systematically solving problems by putting people and their needs first. Through lectures with professional examples, interactive team activities, and individual, as well as team assignments, students will learn both the theory and practice behind the design thinking process. Ultimately, the course will use design thinking to take students through the design of the User Experience (UX) and User-Interface (UI) of a product or service of their creation.

Since Design Thinking is collaborative in nature, student work will center on a team project throughout the course. This will help speak to the importance of teamwork and how to best balance varying skillsets and schedules. However, there will also be individual assignments and select readings to help students reflect on their experience and help assess for the class learning objectives. 

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MGMT 180

Business Applications of Artificial Intelligence
and Machine Learning

Tuesday and Thursday Afternoons
4-UNITS

This course provides a practical foundation in artificial intelligence and machine learning technologythrough the lens of industry examples. The main objective of the course is to educate and inspire thecreation of the next generation of awesome products and business models that leverage AI/ML for thebetterment of humanity.

The course uses subject matter experts in the various application fields to bring real life businessapplications into the classroom for discussion and healthy debate. There is a lot of confusion andmisunderstanding of AI in the news media and general population around what AI can and cannot doand what the business opportunities and societal impacts of AI will or will not be. The course aims toarm the students with enough technological and business facts by examining current projects andtrends and helping them connect the data points towards how AI might develop in the future impactingthe trajectory of their careers and lives. While technical topics will be covered in the course, it will becompletely accessible to students of all levels of technical background, including non-technical.

COURSE OBJECTIVES:

    • To gain an understanding of all the facets of Artificial Intelligence (AI) technology.
    • To gain an understanding of the business applications of AI today.
    • To gain an understanding of the business applications of AI in the future.
    • To gain an understanding of the ethical and societal impact of AI.
    • To gain an understanding of ways in which your career and skills may relate to AI.

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This program carries 8 quarter units of UC credit for a letter grade.

Major Tech Company Access

 

The Easton Tech Summer Institute will not only prepare you in the classroom, but you'll learn immeasurably through field trips and special speaking engagements, where you'll get a view of what it's like inside some of the most legendary high-tech companies. Last year, these companies either hosted us or spoke on campus for this program:

Team Project

 

Students will work in teams under the guidance of the instructor and prepare to present their projects to the instructor, their peers and invited guests for a comprehensive feedback.

Speaker Series

 

Opportunity to listen to high-profile industry leaders and professionals to gain insight into the backgrounds and experiences of their learnings along the path of reaching the accomplished levels they currently hold.

Company Visits

 

Opportunity to visit local companies and startups. These trips usually include presentations by company by managers and leaders followed by a tour. Such visits provide insights into the workings of a company, its culture, and an opportunity to meet and network with the managers and leaders of the company.

MBA Panel

 

Opportunity to meet and learn from a panel of MBA students on their experiences and learnings as they work in industry and study in UCLA Anderson.