XAT 2022 Syllabus: Great preparation tips are here

XAT 2022 Syllabus: Great preparation tips are here
Published at : 20 Dec 2021, 6:43 PM IST
Updated at : 23 Dec 2021, 1:18 PM IST

XAT 2022 Syllabus is all about the topics students have to study to pass the XAT exam to be conducted next year. Xavier School of Management (XLRI) will be conducting the Xavier Aptitude Test (XAT) for 2022 on 2 January next year.

XAT test is for those who are keen on studying management courses in well-known b-schools located across the country. Individuals who pass this reputed test can get admission into XLRI.

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XAT 2022 Syllabus

The admission process takes its own time, however its beginning with the test, a pass in it with the required score is must for the individuals to move to the next phase of admission.

When it comes to preparing for the exam, XAT 2022 Syllabus assumes a great deal of significance. The knowledge of XAT 2022 Syllabus is the first step towards preparing for the test.

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It is the know-how of XAT 2022 Syllabus that informs candidates what is to be studied and what is not to be. Collegechalo brings out the syllabus for the exam along with preparation tips and possible books they can refer to prepare for the exam.

XAT 2022 Syllabus

The questions will be in multiple choice format where every query has more than one answer and candidate have to choose the right one among them. XAT will have two parts – Part 1 and Part 2.

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Part 1 has questions related to Verbal and Logical Ability, Decision Making and Quantitative Ability and Data Interpretation. Part 2 will have questions related to General Knowledge.

Verbal and Logical Ability will have 26 questions, Decision Making will have 21 questions and Quantitative Ability and Data Interpretation will have 28 questions.

General Knowledge section would carry 25 questions. The total number of questions are 100. XAT 2022 Syllabus is said to be quite exhaustive as it is believed to test various abilities of the candidates.

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It not only tests the language skills but also tests other abilities like aptitude to analyse various situations or details and coming up with the right solution.

Candidates have to remember that they have to focus on imbibing various skills if they are to succeed in this exam.

XAT 2022 Syllabus

Verbal and Logical Ability
This is the section where candidates have to answer questions that test one’s ability to understand written passages and come up with the right reply. It is also about filling the blanks in sentences with right words.

Questions related to the problem solving are also asked in this section. These questions test the logical thinking ability in the candidates.

XAT 2022 Syllabus

XAT 2022 Syllabus as mentioned earlier is quite exhaustive in nature as it tests various abilities of the candidates. Even questions related to analysing graphs, data charts and coming up with required answer are also asked in this section.

Decision Making
This is said to be one of the unique aspects as far as XAT is concerned. Questions in this section test the ability of the students to take decisions amidst tricky or confusing situations. It is also about testing the capacity of procuring the required data, materials amidst very unfavorable circumstances.

This part is a very important one as far as XAT 2022 Syllabus is concerned.

XAT 2022 Syllabus

Even this is an important part in XAT 2022 Syllabus. Sometimes, knowledge in various other subjects like science, politics, history help a lot when it comes to taking important business decisions. So, its importance is not to be undermined as far as XAT 2022 Syllabus is concerned.

Topics in XAT 2022 Syllabus

The lessons in XAT 2022 Syllabus subject wise are given below for the sake of the candidates:

Verbal and Logical Ability
$ Jumbled paragraphs

$ Reading comprehension

$ Critical reasoning

$ Grammar

$ Fill in the blanks

XAT 2022 Syllabus

$ Ethical dilemma

$ Conditions and grouping

$ Data arrangement

$ Complex arrangement

$ Decision making in a situation

General Knowledge
$ Famous personality

$ Business

$ Economy

$ Science

$ History

$ Geography

$ Economics

$ Finance

$ National and international current affairs

$ Conventional GK

$ Constitution of India

$ Company profiles and logos

$ Business & Economy

$ Who’s who

$ Books & Authors

$ Capitals

$ Currencies

$ Current affairs

XAT 2022 Syllabus

$ Table

$ Algebra

$ Arithmetic

$ Geometry

$ Modern Maths

$ Numbers

$ Data Tables

$ Data Charts

$ Bar Diagrams

$ Pie Charts

$Graphs

$ Data Analysis and Comparison

$ LCM and HCF

$ Percentages

$ Profit and Loss

$ Simple Interest

$ Compound Interest

$ Speed, Time and Distance

$ Time and Work

$ Averages

$ Ratio and proportion and others

$ Number System

$ Algebra

$ Geometry including co-ordinate geometry

$ Mensuration

$ Pure math

$ Venn diagrams

$ Linear equations

$ Quadratic equations

$ Complex numbers

$ Logarithm

$ Progressions

$ Binomial theorem

$ Surds and indices

$ Inequalities

$ Permutation and combination

$ Probability functions

$ Set theory

$ Mixtures and alligations

$ Trigonometry

XAT 2022 Syllabus

Post familiarization with XAT 2022 Syllabus, candidates have to look for the materials (books) using which they can prepare for the test. Some of the books to be studied for preparing for XAT are given below:

$ Target XAT 2022

$ General Knowledge (2022 edition)

$ A Modern Approach to Verbal and Non-Verbal Reasoning

$ How to prepare for Data Interpretation

$ Wren and Martin High School English Grammar and Composition Book

$ Jabbing The XAT Solved Papers and Mock Tests 2021

$ Wiley’s ExamXpert Solved Papers and Practice Tests for XAT

$ XAT Solved Papers 2008-2021

XAT 2022 Syllabus

$ Candidates can even read mathematics text books of 9th and 10 standard when it comes to preparing for Quantitative Ability. Reading non-fiction books, novels, newspapers will also help in preparing for Verbal Ability.

$ News papers, popular novels, well-known magazines may not be mentioned in the XAT 2022 Syllabus, but going out of it and reading news papers, magazines would help a lot.

$ Students must have a well-established study time table that gives enough time for all subjects. All subjects have to be studied as each mark would count when it comes to a competitive exam.

$ Referring online material post acquaintance with XAT 2022 Syllabus will be a good thing to do. Also, candidates can talk to experts (faculty) take their guidance. Even taking tips from candidates who are successful earlier will help a lot.

$ Practice makes man perfect is the saying. This only reiterates the need to revise what one has studied at regular intervals. Candidates can test themselves by taking mock tests frequently.

XAT 2022 Syllabus
S.
S. Vishnu Sharma

S Vishnu Sharmaa now works with collegechalo.com in the news team. His work involves writing articles related to the education sector in India with a keen focus on higher education issues. Journalism has always been a passion for him. He has more than 10 years of enriching experience with various media organizations like Eenadu, Webdunia, News Today, Infodea. He also has a strong interest in writing about defence and railway related issues.

NIT Rourkela develops great AI powered model

NIT Rourkela develops great AI powered model
Published at : 26 Feb 2025, 6:47 PM IST
Updated at : 26 Feb 2025, 6:47 PM IST

NIT Rourkela research team led by Prof. Mirza Khalid Baig has developed a new AI-driven approach to improve blood sugar predictions for people with diabetes.

Prof Mirza is an Assistant Professor at Biotechnology and Medical Engineering department of NIT Rourkela.

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NIT Rourkela Campus

The research presents a machine-learning model that enhances the accuracy of blood glucose level prediction, helping individuals and healthcare providers make better and personalised treatment decisions, say sources from NIT Rourkela.

Challenge

Diabetes is a major health challenge in India, with cases expected to reach 124.9 million by 2045, say NIT Rourkela researchers.

Effective diabetes management relies on regular glucose monitoring to prevent dangerous spikes (hyperglycemia) and drops (hypoglycemia) in blood sugar levels. Managing diabetes can be difficult due to a lack of specialists, unequal access to healthcare, low medication adherence, and poor self-care.

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These challenges make it harder for patients to keep their blood sugar levels under control, increasing the risk of serious health problems.

NIT Rourkela

Machine learning (ML) has been used in many areas of diabetes research, from basic studies to predictive tools that can help doctors and patients make better and timely decisions.

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However, AI learning models, especially predictive AI models, have a few drawbacks. Many of these models work like a “black box,” meaning their predictions are difficult to understand, say sources from NIT Rourkela.

This lack of transparency makes it hard for doctors and patients to fully trust them.

Furthermore, traditional models, such as statistical forecasting methods or basic neural networks, often fail to recognise long-term glucose fluctuations and require complex fine-tuning.

Focus

The researchers at NIT Rourkela focused on improving glucose forecasting using deep learning techniques.

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Their approach incorporates a specialised AI model that learns from past blood sugar trends and predicts future levels more accurately than existing methods.

Unlike traditional forecasting models, which often struggle with long-term trends and require manual adjustments, this model processes glucose data automatically, identifying key patterns and making precise predictions, say sources from NIT Rourkela.

NIT Rourkela

According to the results of ICMR INDIAB study released in 2023, the overall prevalence of diabetes in our country is 11.4% and that of prediabetes is 15.3%, said Prof Mirza of NIT Rourkela.

Hence, it is crucial that we develop new solutions to tackle this problem, he said.

Our core innovation lies in using multi-head attention layers within a neural basis expansion network, which allows the model to focus on the most relevant data points while ignoring unnecessary noise, he said.

This results in better performance without the need for large amounts of training data or extensive computing power.

By combining precision with efficiency, we aim to provide a practical tool that can be integrated into digital health solutions, helping patients and doctors manage diabetes more effectively, he said.

Performance

The model developed by NIT Rourkela outperformed existing forecasting techniques by providing more reliable blood sugar predictions.

Since the model prioritises key information in blood sugar trends, it enables prediction that matches an individual’s unique glucose patterns, say sources from NIT Rourkela.

As a result, it offers improved accuracy, which is important for making timely and personalised adjustments to future insulin doses, meals, and physical activity.

Furthermore, the model is optimised to work efficiently on devices like smartphones and insulin pumps, making it more accessible for everyday diabetes management.

Care

In the long run, this AI-driven approach has the potential to enhance diabetes care through various applications.

It could be integrated into smart insulin pumps to automate insulin delivery, incorporated into mobile health apps for real-time glucose tracking, or used in clinical settings to support doctors in making personalised treatment plans.

Testing the developed technology

Currently, the researchers are planning on testing the developed technology through extensive clinical trials at hospitals, in collaboration with senior diabetologists in Odisha, such as Dr. Jayanta Kumar Panda and his team.

The team also acknowledges support from DST, DBT and NIT Rourkela for this project.

About NIT Rourkela

NIT Rourkela is one of the premier national level institutions for technical education in the country and is funded by the Government of India.

NIT Rourkela has earned 19th position in NIRF Ranking 2024 (Engineering Category), Overall 34th position, 30th position under Research and 9th position in Architecture and Planning category.

S.
S. Vishnu Sharma

S Vishnu Sharmaa now works with collegechalo.com in the news team. His work involves writing articles related to the education sector in India with a keen focus on higher education issues. Journalism has always been a passion for him. He has more than 10 years of enriching experience with various media organizations like Eenadu, Webdunia, News Today, Infodea. He also has a strong interest in writing about defence and railway related issues.



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