Knowledge Enrichment Programme- "Exoplanets: Transit Curve Analysis and Advanced Imaging,"
Date:14 October 2024
The Department of Physical Sciences conducted a Knowledge enrichment program on 14th October 2024 for the first-year BSc CPE students. The session, titled "Exoplanets: Transit Curve Analysis and Advanced Imaging," was led by Harshith VH and Vaishnavi K from III BSc PHCS (Members of NASA Exoplanet Watch). The program began with an introduction to astronomy and astrophysics, followed by a detailed explanation of exoplanets. The students were introduced to various detection methods for exoplanets, including transit curve analysis, as well as a few algorithms relevant to the field. An introduction to NASA’s citizen science project “The NASA Exoplanet Watch" was also discussed, providing insights on how students can get involved in the project. The session concluded with a brief explanation of how participants can start contributing, with a hands-on workshop to follow in the next session for further exploration.

Knowledge Enrichment Session- Introduction to PYTHON
Date:16/08/2024, 19/08/2024, 20/08/2024, 22/08/2024
The Department of Mathematics organized a Knowledge Enrichment Session on Introduction to Python to the students of I BSc CSM A and B Section. The resource persons were the students of final year BSc CSMM - Neetha, Francin, Devika and Richi. They introduced and explained Python’s syntax. Neetha introduced PYTHON libraries like NumPy, SciPy, and Matplotlib that simplify mathematical computations and visualizations. Devika explained Python fundamentals—variables, data types, and basic operations. Francin demonstrated how to use Python's built-in functions and the math module to perform calculations like exponentiation, logarithms, and trigonometry. Richi introduced NumPy, a powerful library for numerical computing. Students were given hands-on training for all the concepts introduced. Python is a tool that can combine thinking and problem-solving in mathematics.

Workshop on SPSS
Date: 31/7/2024 and 01/8/2024
The Department of Statistics conducted a comprehensive Hands-on workshop on the Statistical Package for the Social Sciences (SPSS) to II Year BSc STMM, STEC, STCS students. The workshop aimed to provide students a basic understanding of fundamental statistical procedures on using the toolbars, menus, and interface of SPSS. The workshop equipped students with the skills to enhance their ability to create charts, graphs, and other visual representations of data. Also, students gained proficiency in generating and analysing statistical measures, including mean, median, mode, correlation, and regression.

At the end of the workshop, the skills empowered them to confidently use SPSS for academic research, data analysis projects, and future professional tasks involving data interpretation. The workshop has enhanced ability of the students to use statistical techniques to address research issues and reach data-driven conclusions. The engagement and participation of the students in the workshop demonstrated a strong commitment to learning and applying statistical techniques effectively using SPSS and to communicate the findings of statistical analysis in an efficient manner.

Workshop on JAMOVI
Date: 30/7/2024 and 31/7/2024
Department of Statistics organized JAMOVI Workshop for V STMM STEC students. The Resource Person was Prof. Liji George, Dr.Vinoth, and Dr. Yuvaraj V, Assistant Professor, Department of Physical Sciences. This was an educational event intended to expose participants to JAMOVI, an open-source statistics program. The session emphasised hands-on instruction, taking students through data analysis techniques and statistical methodologies via JAMOVI's user-friendly interface. Participants learnt how to run numerous statistical tests and successfully interpret the results, which improved their data analysis skills.

Knowlegde Enrichment Session on R Software
Date: 28 February 2024
Introduction: The R software session aimed to provide participants with a comprehensive understanding of R programming language for statistical analysis. The session covered essential topics including R installation, basic R structure and coding, descriptive statistics and graphs, scatter plots, correlation, and regression analysis.

R Installation and Basic Structure: Participants were guided through the installation process of R software on their respective systems. The session started with an introduction to the basic structure of R programming language, including variables, data types, functions, and control structures. Participants gained hands-on experience with R Studio, the integrated development environment for R, to execute R code efficiently.

Descriptive Statistics and Graphs: The session delved into descriptive statistics techniques, including measures of central tendency, variability, and distribution. Participants learned how to compute descriptive statistics such as mean, median, standard deviation, and generate graphical representations such as histograms, box plots, and density plots to visualize data distributions.

Scatter Plot, Correlation, and Regression: Participants were introduced to scatter plots as a visual tool to explore relationships between two continuous variables. The session covered correlation analysis to quantify the strength and direction of linear relationships between variables using Pearson correlation coefficient. Furthermore, participants learned about regression analysis techniques, including simple linear regression and multiple linear regression, to model and predict the relationship between dependent and independent variables.

Conclusion: The R software session provided participants with a solid foundation in statistical analysis using R programming language. By mastering concepts such as descriptive statistics, scatter plots, correlation, and regression analysis, participants are equipped with essential skills for data exploration and hypothesis testing. The hands-on approach and practical examples offered in the session enabled participants to gain proficiency in using R for data-driven decision-making tasks.

Overall, the session proved to be informative and valuable in enhancing participants' understanding and application of statistical analysis techniques using R software.

Hands-On Session on Exoplanets: From Observations to Light Curves
Date: 18 January 2024
The department of Physics of Kristu Jayanti College has been enthusiastic in conducting research activities, guest lecture series and knowledge enrichment programmes every semester in various research fields. In continuation of the enrichment programme, the department of physics has organized the “Hands-on Session” on the topic “Exoplanets: From Observations to Light Curves” on 18th January, 2024 for all I, II and III B.Sc. Physics Students. The resource person was Avinash S. Nediyedath, Member of NASA Exoplanet Watch, American Association of Variable Star Observers. The main objective of this event was to provide the fundamental understanding of exoplanets and how to take real time telescope observations and generate light curves to find exoplanets. Also, aimed to motivate the students towards research and find the research opportunities in the field of astronomy and astrophysics.

The session started with some theoretical knowledge on exoplanets. Then the resource person gave a set of links where the students got the telescope data from a robotic telescope in Arizona. Using this data, the resource person guided the students to generate their own light curve using a python pipeline called EXOTIC (Exoplanet Transit Interpretation Code). Finally, the resource person had interacted with the students and answered their questions. He motivated them towards research in the field of astronomy and astrophysics. Overall, the session was informative and engaging, and provided a spark in students in the field of astrophysics. Total 74 students have attended and benefitted from the event.

National Mathematics Day – Workshop
Date: 05 January 2024
In celebration of National Mathematics Day, the Department of Mathematics hosted an enlightening workshop focused on the contemporary mathematical tool, GeoGebra. Dr. Vignesh, Assistant Professor, Department of Mathematics, CMR University, Bengaluru, served as the resource person for the event, guiding participants through the intricacies of plotting and highlighting the various features of GeoGebra. The workshop provided a hands-on experience for attendees, offering practical insights into utilizing GeoGebra for mathematical applications. Dr. Vignesh's expertise was showcased as he navigated through diverse examples, demonstrating the versatility of GeoGebra and its potential in enhancing mathematical understanding.

National Mathematics Day was aptly marked by this workshop, reinforcing the department's commitment to fostering contemporary tools and methodologies in the pursuit of mathematical knowledge. Dr. Vignesh's expertise and the interactive nature of the workshop contributed to a deeper appreciation for the role of technology in advancing mathematical understanding.

R Workshop
Date: 03 January 2024
Department of Statistics organized R Workshop. The Resource Person is Prof. Keerthi Vijayan, and Dr. Yuvaraj V Assistant Professor, Department of Physical Sciences. The aim of the event is to focuses on the basics of R. The event is held in an Offline mode. The session aims to educate participants about the fundamental concepts of basic statistics using R and how it can be achieved using various simple program.

During the session, the basic concepts of statistics and simple statements used, are explained. Participants are also introduced to practice some problems, such matrices, measure of central tendency and Dispersion. The session aims to help participants understand the advantages and limitations of each technique and their applications in basic statistics.

The session also covers the challenges associated with programme, such as the decimal and complexity of problems. The session explores the various approaches used to address these challenges, such as simple program statements and methods. Overall, the session was informative and engaging, and provided a good introduction to the world of R. The hybrid mode format of the event allowed only for in-person participation. 29 participants are benefitted through this event.

Usage of trainer kits in Digital Electronics
Date: 11 August 2023
Department Of Electronics, organized a workshop on “Usage of trainer kits in Digital Electronics” for the faculties teaching digital Electronics on 11th August 2023. Prof. Nagendra.S, Program Coordinator, BSc (Physical Sciences) introduced the resource person highlighted the importance of the trainer kits in teaching digital electronics gave an overview about the workshop.

During the first session, Dr. Mayank Pandey delivered a comprehensive introduction to digital trainer kits available in the market and discussed the various terminal available in the kit. He later demonstrated the digital circuit building methods using ICs.

During the second session, Prof. Amjad Hassan Khan demonstrated the methods in identifying the digital ICs. He taught the pin diagrams for all the ICs and made the participants to use the digital trainer kits and construct the digital circuits. At the end of workshop the participants had a hands on session on constructing the digital circuits and verified their working principle.

Workshop on Python for Mathematicians
Date: 07 August 2023
A Python workshop for first-year mathematics students was conducted on 07.08.2023 to introduce them to the fundamentals of Python programming and its applications in solving mathematical problems. Prof. Menaka B, Faculty at Department of Mathematics, Kristu Jayanti College (Autonomous), Bengaluru is the resource person for the workshop. The workshop aimed to provide students with a foundational understanding of Python and its basic math libraries, enabling them to utilize Python as a tool for mathematical analysis and problem-solving. he workshop began with an introduction to Python, highlighting its importance in various fields, including Python Math Libraries, NumPy, SciPy, Matplotlib and Hands-On Exercises. The Python workshop for first-year mathematics students was a successful initiative aimed at equipping students with essential programming skills and the ability to apply Python to mathematical problem-solving. It provided a solid foundation for their future studies and research in mathematics and related fields.

Workshop in R
Date: 07 August 2023
The workshop began with an overview of statistical analysis, including its importance in drawing conclusions from data. The session delved into the application of descriptive statistics. Participants were shown how to perform statistical analysis, like plotting boxplot, construction of Frequency distribution and their appropriate interpretation. They were also taught to access the inbuilt data. Throughout the workshop, participants were engaged in hands-on exercises and case studies. This provided them with practical experience in conducting statistical analysis using R.

Excel Enrichment Workshop
Date: 03 August 2023
Department of Statistics organized Workshop on “Excel Enrichment Workshop”. Resource Persons for the workshop is Prof. Liji George, Dr. Vinodh B, and Dr. Yuvaraj V.

The primary objective of the event was to provide undergraduate students with a comprehensive understanding of the basics of Microsoft Excel. Throughout the event, participants were introduced to essential concepts such as spreadsheet navigation, data entry, formatting, and basic formulae. These concepts were explained in a clear and accessible manner, catering to students with varying levels of familiarity with the software. Practical exercises were a key component of the event, allowing attendees to apply what they learned in real-time, thereby reinforcing their understanding and boosting their confidence in using Excel.

Additionally, the event fostered a collaborative and interactive environment, encouraging participants to engage in discussions and share their insights. This not only facilitated a dynamic learning experience but also provided students with the opportunity to learn from their peers’ questions and experiences.

Overall, the event successfully achieved its goal of imparting a solid foundation in Excel to undergraduate students. Attendees left with improved proficiency in spreadsheet tasks, an enhanced ability to organize and analyze data, and a valuable skillset that will likely prove beneficial in both their academic pursuits and future careers. 84 participants are benefitted through this event.

One Day Workshop on Exploring Arduino
Date: 18 August 2023
Department Of Electronics, organized a one day workshop on “EXPLORING ARDUINO” on 18th August 2023. Prof. Nagendra.S, Program Coordinator, BSc (Physical Sciences) introduced the resource person Dr. Malatesh Akkur, and highlighted the importance of Arduino programming in electronics field gave an overview about the workshop.

During the first session, Dr. Malatesh delivered a comprehensive introduction to different types of Arduino boards available in the market and discussed the applications of Arduino in the real time world. He later demonstrated the installation process of Arduino Software (IDE). Students had a hands on session on writing the programs using Arduino software (IDE). Some of the programs executed during the session were LED blinking, Traffic signal, Home Automation.

During the second session, Dr. Malatesh demonstrated on the circuit building concepts using Arduino Uno board. Later he explained how the program has to be stored in the Arduino Uno board. Students developed the home automation project on the breadboard and controlled the devices using mobile App. In the later session a major project title “Bluetooth controlled device” was developed by the students. Dr. Malatesh also taught about the mobile Apps available in the play store to control the Bluetooth gadgets. At the end of workshop students develop a Bluetooth controlled car operated by mobile App.

Workshop on Statistical Inference Using SPSS
Date: 03 & 04 August 2023
Department of Statistics organized Workshop on “Statistical Inference Using SPSS”. It was a two day workshop conducted for V Semester BSc STEC and STMM students. The Resource Persons is Ms. Keerthi Vijayan, faculty, department of statistics and Dr.Vinoth B, Assistant Professor, department of statistics. The workshop on "Statistics Inference Using SPSS" was conducted with the aim of providing participants with a comprehensive understanding of statistical inference techniques and hands-on experience in using the Statistical Package for the Social Sciences (SPSS) software for data analysis and interpretation. The workshop was designed to cater to participants with varying levels of statistical knowledge, from beginners to intermediate users.

The workshop began with an overview of statistical inference, including its importance in drawing conclusions from data. Basic concepts such as population, sample, parameter, and statistic were explained. The session delved into the application of inferential statistics. Participants were shown how to perform t-tests, chi-squared tests, and analysis of variance using SPSS. Practical exercises were conducted on constructing confidence intervals for population parameters using SPSS. Participants were taught how to interpret these intervals and make informed conclusions. The concept of hypothesis testing was explained in detail, followed by demonstrations of how to set up and perform hypothesis tests using SPSS. Emphasis was placed on understanding p-values and making appropriate decisions based on them. Throughout the workshop, participants engaged in hands-on exercises and case studies. This provided them with practical experience in conducting statistical analysis using SPSS.

Conclusion: The "Statistics Inference Using SPSS" workshop successfully achieved its objectives by equipping participants with the necessary skills to perform statistical inference using the SPSS software. Participants gained a solid understanding of fundamental statistical concepts, estimation, hypothesis testing, and data analysis techniques. The hands-on approach and interactive discussions ensured that participants could apply their learning effectively to real-world scenarios.

The positive feedback received from participants indicated that the workshop was insightful and beneficial. Attendees expressed their appreciation for the practical nature of the workshop and how it demystified statistical inference and SPSS usage. 15 participants are benefitted through this event.