Preface
About the Writer
Bakti Siregar, M.Sc., CDSS works as a Lecturer at the ITSB Data Science Program. He earned his Master’s degree from the Department of Applied Mathematics at National Sun Yat Sen University, Taiwan. In addition to teaching, Bakti also works as a Freelance Data Scientist for leading companies such as JNE, Samora Group, Pertamina, and PT. Green City Traffic.
He has a strong enthusiasm for projects (and teaching) in the fields of Big Data Analytics, Machine Learning, Optimization, and Time Series Analysis, particularly in finance and investment. His core expertise lies in statistical programming languages such as R Studio and Python. He is also experienced in implementing database systems like MySQL/NoSQL for data management and is proficient in using Big Data tools such as Spark and Hadoop.
Some of his projects can be viewed here: Rpubs, Github, Website, and Kaggle
Acknowledgments
Applied Mathematics plays a vital role in modeling, analyzing, and optimizing processes within the mining industry and broader engineering fields. This module introduces essential techniques in applied mathematics, including:
- A solid foundation in real numbers, functions, and calculus
- The ability to analyze and interpret mining and engineering data effectively
- A clear understanding of the role of mathematics in modeling and problem-solving
- Practical skills in applying derivatives, integrals, and numerical methods to real-world mining challenges
This book is designed for beginners who wish to build a strong foundation in Applied Mathematics while appreciating its concepts and applications in mining and engineering disciplines. We sincerely value the active participation of readers, whose insights and questions enrich the learning journey. We hope this material serves as a practical guide for applying applied mathematics to mining and engineering projects.
Feedback & Suggestions
Your input is invaluable in improving this module. We invite all readers to share their thoughts on the content, structure, and clarity of the material. Suggestions for additional topics or sections that need further explanation are highly appreciated.
With your support and contributions, we aim to make this e-book a comprehensive resource for Data Science Programming and Applied Mathematics. Thank you for your participation and feedback!
For feedback and suggestions, please contact:
Feedback & Suggestions
Your feedback is essential for improving the clarity, depth, and usefulness of this module. We encourage readers to share their thoughts on the content, structure, and explanations, as well as suggestions for additional examples, problem sets, or applications.
This input will help us refine the E-book into a more practical and comprehensive resource on Fundamental Mathematics, covering key topics such as Real Numbers, Functions, Derivatives, Integrals, and Transcendental Functions. Our goal is to bridge theoretical understanding with problem-solving skills relevant to both academic study and engineering practice. Thank you for contributing to the continuous development of this material! For feedback and suggestions, please contact:
- siregarbakti@gmail.com
- siregarbakti@itsb.ac.id
- dsciencelabs@outlook.com