Gain today's in-demand skills with a Graduate Certificate

Python is an easy to learn, widely versatile programming language whose extensive collection of external libraries makes it a popular choice for business analytics and visualization, data science, artificial intelligence, scientific and numeric computing, and many other applications. Its compatibility with leading analytics tools that are widely used in enterprises also places it in high demand. Students in this course will first learn the fundamentals of programming that are common to all programming languages. They will then work with Python libraries to perform common analytics tasks. No prior programming experience is required.

This course teaches foundational data management,retrieval, and manipulation skills with an emphasis on enabling the students to form a strong foundation for analytical processes. It builds a foundation for understanding various domains of practice with conceptual data modeling and demonstrates how the same conceptual needs can be served with different data management technologies. The course covers relational technologies for both operational databases and data warehouses and non-relational data management infrastructures for analytics. The course will help the students develop strong skills in the use of the SQL language for database definition and data manipulation.

The architecture of modern database systems for data analytics with big data are examined. This course provides a hands-on introduction to several architectures and approaches for data for analytics, including data from operational transactions, sensor data, web logs and social media sites. It explores the different types of data that make up the big data space, and applies capture and storage technologies appropriate for relational and non-relational models, such as clickstreams and user navigation of web sites. Data will be explored using Python-based tools for analytics and visualization. Students enrolled in this course are expected to have basic proficiency in the Python programming language and relational databases.

Python is an easy to learn, widely versatile programming language whose extensive collection of external libraries makes it a popular choice for business analytics and visualization, data science, artificial intelligence, scientific and numeric computing, and many other applications. Its compatibility with leading analytics tools that are widely used in enterprises also places it in high demand. Students in this course will first learn the fundamentals of programming that are common to all programming languages. They will then work with Python libraries to perform common analytics tasks. No prior programming experience is required.

This course teaches foundational data management,retrieval, and manipulation skills with an emphasis on enabling the students to form a strong foundation for analytical processes. It builds a foundation for understanding various domains of practice with conceptual data modeling and demonstrates how the same conceptual needs can be served with different data management technologies. The course covers relational technologies for both operational databases and data warehouses and non-relational data management infrastructures for analytics. The course will help the students develop strong skills in the use of the SQL language for database definition and data manipulation.

This course introduces students to the foundations of artificial intelligence (AI) and its use in automation. Fundamental concepts and techniques behind software agents, automated reasoning, machine learning and robotics are introduced and illustrated with applications in various domains. Students will learn how these techniques can be integrated into business operations and functions to increase productivity and to support strategic decision making in organizations. Students will have opportunities to explore AI-based software and tools and discuss the ethical issues related to the development and use of AI. Requires students to have taken CS 602 and CS 605.

This course teaches programming using the Java language, which is widely used in business. By focusing on algorithm development, data structures, logical reasoning skills, and sound programming practices, students learn to analyze and tackle business programs with software solutions. Emphasis is placed on the importance of writing and thoroughly testing code that is well structured and runs efficiently. Students first gain a solid understanding of programming fundamentals before delving into higher-order concepts, including abstract data types. Practical hands-on exercises and assignments using a well-known, integrated development environment reinforce algorithmic thinking, programming, and debugging skills. No prior programming experience is required.

This course teaches foundational data management,retrieval, and manipulation skills with an emphasis on enabling the students to form a strong foundation for analytical processes. It builds a foundation for understanding various domains of practice with conceptual data modeling and demonstrates how the same conceptual needs can be served with different data management technologies. The course covers relational technologies for both operational databases and data warehouses and non-relational data management infrastructures for analytics. The course will help the students develop strong skills in the use of the SQL language for database definition and data manipulation.

This course is an introduction to developing mobile applications, beginning with mobile operating system capabilities and application architecture and extending to major components, such as activities, services, broadcast receivers and others. Students learn how to develop interactive applications using widget libraries, web-based services, animation, an SQL database engine, and multithreading. Students in this course are expected to have proficiency in Java, website development an SQL queries. Requires students to have taken CS 603 and CS 605.

This course teaches foundational data management, retrieval, and manipulation skills with an emphasis on enabling the students to form a strong foundation for analytical processes. It builds a foundation for understanding various domains of practice with conceptual data modeling and demonstrates how the same conceptual needs can be served with different data management technologies. The course covers relational technologies for both operational databases and data warehouses and non-relational data management infrastructures for analytics. The course will help the students develop strong skills in the use of the SQL language for database definition and data manipulation.

The course will provide a business-focused perspective on analytics in organizations, with emphasis on business fundamentals for analytics professionals (including how businesses are structured, functional areas, core business processes and associated performance metrics, and types of business decisions), the value of analytics in organizations (including organizational-level perspectives on value, managing with analytics, and constraints and consequences of analytics processes such as information security, privacy and ethics), and the practice of analytics (understanding and framing ill-defined business problems in various functional business areas, exploring and visualizing problem-related data, identifying actionable insights, and communicating the results at different organizational levels). The course will feature hands-on exercises with real-world data and analytics applications.

This course extends students' knowledge and skills gained in database management courses and looks further at business intelligence and data science concepts and techniques. The course explores the data management and analytics architecture and technologies required for solving complex problems facing modern enterprises and organizations. Case studies of organizations using these technologies to support business intelligence gathering and decision making are examined. This course also provides hands-on experience with state-of-the-art data warehousing, analysis, mining, and visualization methods and tools. Requires students to have taken CS 605.

This course develops a conceptual foundation based on theories of emotional intelligence and interpersonal dynamics as essential elements of the leadership role. It considers such topics as perception, personality and attitudes, interpersonal communication, and relationships. The course applies these models and concepts to behavior in the workplace, especially leadership and other managerial and organizational issues. It enhances emotional intelligence and interpersonal competence by developing key skills, such as active listening, assertive expression and conflict resolution.

Organizations use a variety of complex work teams to accomplish their objectives. Unfortunately, many organizational teams are not particularly effective. This course is designed to help students lead, participate and work effectively in a variety of team environments – including virtual teams and groups. Students will develop a greater understanding of group dynamics, of their own behavior in teams, and team leadership skills. The course is highly experiential and involves working in teams on graded and non-graded assignments. These assignments include team presentations and written and oral analysis.

This course explores the theory and practice of negotiating, with an emphasis on bargaining within an organizational context. It develops the knowledge of bargaining concepts and models, as well as skills to apply this knowledge in real-life negotiating situations. The course uses multiple negotiating case role plays to increase involvement and to deepen understanding of negotiating principles in face-to-face and virtual online negotiating environments.

This course explores the theory and practice of negotiating, with an emphasis on bargaining within an organizational context. It develops the knowledge of bargaining concepts and models, as well as skills to apply this knowledge in real-life negotiating situations. The course uses multiple negotiating case role plays to increase involvement and to deepen understanding of negotiating principles in face-to-face and virtual online negotiating environments.

This course presents the specific concepts, systems and techniques for managing projects effectively. It leads students through a complete project life cycle, from requirements analysis and project definition to startup, reviews and phase-out. The role of the project manager as team leader is examined, together with important techniques for controlling project costs, schedules and performance. Lectures, case studies and group discussions are combined to develop skills needed by project managers in today's environment.

Teaches the fundamentals of management consulting. Students learn the basics of internal and career consulting as well as how to be good consumers of consulting services. Topics include the consulting process; project, team and client management; ethics of consulting; careers in consulting; and issues surrounding the use of consultants. Exploring the nature of consulting from the vantage points of both consultant and client, the course is designed for graduate students who may be interested in a consulting career, find themselves serving as an internal consultant, do occasional consulting outside their primary job, or need to hire or work with external consultants. Case studies and experiential exercises will be used extensively. Students will learn process of consulting through a hands-on, in-class consulting project with actual client.

This course examines the multiple roles of ethical and responsible leadership and the challenges associated with leading organizations and teams in a rapidly changing environment. Through discussion, case analysis, and team-based experiential exercises; students explore the complex issues of responsibly leading and guiding organizations and teams in contemporary society. Focus is placed on the development of the student as evolving leader. Students assess individual strengths and weaknesses as a leader, identify and develop a range of leadership competencies, and then apply these leadership skills to a variety of situations.

This course seeks to improve participant awareness of change dynamics, including: the changing nature of change; understanding the enhanced change complexities in a global, virtual environment, readiness for a change versus continuous change; and the challenge of building change capacity (skills and capabilities). The course focus includes key individual, group and organization-level factors essential for informing leaders and followers as they navigate change efforts in organizations.

This course addresses the knowledge, skills and attitudes leaders need to more fully employ all the resources of the increasingly diverse workforce. The course examines the dynamics of different social identities in the workplace, in the context of exploring how people who are different from each other can work together effectively. Investigates the impact of diversity on individuals, groups, teams, and the organization as a whole.

This course focuses on all aspects of starting a business: selecting promising ideas, initiating new ventures and obtaining initial financing. It concentrates on how ventures are begun, how venture ideas and other key ingredients for startups are derived, and how to evaluate new venture proposals. This course explores business plan development and legal and tax considerations.

In the increasingly complex and global marketplace, innovation is becoming a necessity for competitive strength and survival. Creativity and good ideas alone are not enough for success; they must be transformed into viable goods and services and offered to customers through innovative business models. This course focuses on strategies that leaders use for stimulating and implementing innovation in the workplace. It looks at innovation strategically at the level of the firm and industry. The innovation strategies of successful and unsuccessful firms are highlighted. The course covers topics such as sources of innovation, design thinking, disruptive innovation, business model innovation, first mover advantage/disadvantage, value innovation, and dominant design and standards battles. During the semester, the students will tour innovative companies, and hear from experts in the financing and valuation of small innovative firms.

This course focuses on the nature of creativity and the creative process. It discusses several definitions and theories of creativity, and applies these theories to enhance students' own creativity. Several techniques will students recognize and remove barriers to creative thinking. These techniques will be applied to develop creative approaches to business and marketing cases and students' own business and academic problems. While the focus of the class is on individual creativity, it will also discuss the pros and cons of team creativity and apply techniques to improve team efforts. Organizational creativity and implementing creative solutions will also be covered.