Mitali Mittra

Work place: Russian Presidential Academy of National Economy and Public Administration (RANEPA), Kingston/RANEPA MBA Program, Moscow, Russian Federation



Research Interests:


Dr. Mitali Mittra is a professor of management and director of the Kingston/RANEPA MBA program and the master’s degree in project management at RANEPA. Likewise, Mittra teaches international & strategic marketing, research methodology, and management consultancy. She used to be the head of marketing research of the British Council. Similarly, she was the marketing and communication director for TMI (a well-known UK consulting organization). Mittra has more than 15 years of working experience in marketing with different international companies. Currently, she runs her own consulting firm providing services in the areas of marketing, strategy, and communication.

Author Articles
Teaching Artificial Intelligence and Robotics to Undergraduate Systems Engineering Students

By Luis Emilio Alvarez-Dionisi Mitali Mittra Rosbelia Balza

DOI:, Pub. Date: 8 Jul. 2019

The skills of artificial intelligence (AI) and robotics provide a wide window of job opportunities for the following professionals: computer scientists, mechanical engineers, system engineers, computer engineers, biomedical engineers, and electrical engineers. Additionally, other professionals benefiting from AI and robotics’ job opportunities are information technologists, informatic engineers, electronic engineers, data scientists, industrial engineers, big data engineers, and related specialists in the dynamic field of engineering robotics. Therefore, the purpose of this research was to study the effort of teaching AI and robotics to undergraduate systems engineering students at the Polytechnic University Institute “Santiago Mariño” in Barinas, Venezuela. Consequently, the methodology used in this academic research was the case study approach, which included three phases, namely Initiation Phase, Fieldwork Phase, and Closing Phase. In that sense, the design of research adopted in this study was based on the development of an exploratory single case study method. As a result, the Theoretical Framework created as a cornerstone of this research highlighted the following three research variables: (1) Robotic Applications, (2) Mechanics of Robotic Manipulation and Computer Vision, and (3) Object-oriented Analysis and Design (OOAD) and Object-oriented (OO) High-level Programming Languages. In conclusion, two nondirectional null hypotheses were tested, leading to the positive answers of the following research questions: (1) “Can undergraduate systems engineering students apply OOAD and OO High-level Programming Languages to analyze, design, and develop Robotic Applications?” and (2) “Can undergraduate systems engineering students use Mechanics of Robotic Manipulation and Computer Vision to analyze, design, and develop Robotic Applications?” as stated in this case study.

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