Syllabus for
BSc (Data Science, Statistics/Honours/Honours with Research)
Academic Year  (2024)

CIA-50%

ESE-50%

The Department of Statistics and Data Science, established in the year 2022, strives to provide a dynamic research environment and effective education, including excellent training in scientific data collection, data management, methods and procedures of data analysis. Our curriculum adheres to worldwide standards to provide the best possible research and educational opportunities. It offers a perfect blend of statistical knowledge with tools and data science techniques required to explode, analyze and interpret the complex data of the modern world. The curriculum and teaching pedagogy foster higher-order thinking and research skills, which equip students for the dynamic and ever-evolving data industry. Well-designed co-curricular activities organized by the department are aimed at the holistic development of students. The skills imparted through various programs offered by the department aim to develop data professionals who would strive to contribute to the development of societyand the achievement of national goals. 

Vision: Excellence and Service

Mission: To develop statistics and data science professionals capable of enriching a sustainable and progressive society for achieving common national goals

The undergraduate programme of BSc (Data Science, Statistics) is a novel three-year dual major, interdisciplinary degree programme. The students are given the option to pursue fourth year for the award of Honors degree. It has been specifically designed for the current Information and Knowledge Creation Era. This Programme will equip the student to learn about querying, acquiring and understanding the categories of data and its analysis, methods to extract insights from data and to visualize and report the results. It also helps students to make formal and informal inferences on the basis of statistical data and to understand classical and modern data- analytics techniques, artificial intelligence techniques and statistical machine learning concepts. The progressive approach in the design of the curriculum facilitates students to pursue research/career in the areas of Data Science or Statistics. 

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO2: Develop relevant computational and statistical techniques for data science to gain insights from complex and high dimensional data.

PO3: Demonstrate understanding of the interdisciplinary nature of data for research and development using machine learning techniques and data science algorithms.

PO4: Develop a strong foundation in statistical theory to compete in a broad range of scientific, government, financial, health, technical and other fields.

PO5: Analyze, interpret and report the findings of experiments or studies accurately using statistical tools and models.

PO6: Acquire analytical and problem-solving skills using appropriate principles and methodologies of statistics in real life applications.

Programme Specific Outcome:

Programme Educational Objective:

To provide a strong foundation for data science and the application area related to it, train toexplore the process of data pre-processing and machine learning, and to inculcate the importancevof ethics while handling data and problems in data science. To provide students with a fundamental understanding of the digital computing concepts from a hardware and software perspective.

What is data science? – Why data science? – Data science venn diagram – Terminologies – Application case studies. Types of data – Structured vs unstructured data – Quantitative vs qualitative data – Four levels of data.

What is data science? – Why data science? – Data science venn diagram – Terminologies – Application case studies. Types of data – Structured vs unstructured data – Quantitative vs qualitative data – Four levels of data.

Five steps of data science – Ask an interesting question? – Obtain the data -  Explore the data – Model the data – Communicate and visualize results – Basic question for data explorations – case studies for EDA

Five steps of data science – Ask an interesting question? – Obtain the data -  Explore the data – Model the data – Communicate and visualize results – Basic question for data explorations – case studies for EDA

Communicating data – Identifying visualization – Importance of graphs and statistics – Verbal communication – The why, how and what strategy of presenting.

Communicating data – Identifying visualization – Importance of graphs and statistics – Verbal communication – The why, how and what strategy of presenting.

Machine learning – Modeling Process – Training model – Validating model – Predicting new observations –Supervised learning algorithms – Unsupervised learning algorithms.

Machine learning – Modeling Process – Training model – Validating model – Predicting new observations –Supervised learning algorithms – Unsupervised learning algorithms.

Simple utilitarian ethics, concept of informed consent, data ownership, privacy, anonymity, data validity, data forging and fabrication, algorithmic fairness, societal consequences, code of ethics, Attributions, philosophical frameworks for assessing fairness, contemporary theories of fairness, research ethics for data science, legal aspects.

Simple utilitarian ethics, concept of informed consent, data ownership, privacy, anonymity, data validity, data forging and fabrication, algorithmic fairness, societal consequences, code of ethics, Attributions, philosophical frameworks for assessing fairness, contemporary theories of fairness, research ethics for data science, legal aspects.

Introduction to Numbers Systems, common terms,  representation in binary, equivalent, conversion- Binary Codes - Different types of Binary Codes - Digital Arithmetic: Basic Rules of Binary Addition and Subtraction, Multiplication, Division.

Introduction to Numbers Systems, common terms,  representation in binary, equivalent, conversion- Binary Codes - Different types of Binary Codes - Digital Arithmetic: Basic Rules of Binary Addition and Subtraction, Multiplication, Division.

Introduction to Logic Gates and universal Gates, type of Gates, some common applications of logic gates- Logic Families: Significance and types, Characteristics, Transistor Logic, CMOS logic family

Introduction to Logic Gates and universal Gates, type of Gates, some common applications of logic gates- Logic Families: Significance and types, Characteristics, Transistor Logic, CMOS logic family

Introduction to Boolean Algebra- postulates- Theorems

Introduction to Boolean Algebra- postulates- Theorems

SOP, POS, k-map- Arithmetic Circuits: Introduction to arithmetic circuits, basic building blocks, BCD adder.

SOP, POS, k-map- Arithmetic Circuits: Introduction to arithmetic circuits, basic building blocks, BCD adder.

Multiplexer, Encoders, Demultiplexers, Decoders- Flip Flops: Introduction of Flip Flops, types of Flip Flops

Multiplexer, Encoders, Demultiplexers, Decoders- Flip Flops: Introduction of Flip Flops, types of Flip Flops

[2] Davy Cielen and Arno Meysman, Introducing Data Science. Simon and Schuster, 2016.

[3] M. Loukides, H. Mason, and D. Patil, Ethics and Data Science. O’Reilly Media, 2018.

[4] Digital Electronics Principles, Devices and Applications, Anil K. Maini, DRDO, India, John Wiley & Sons, Ltd

[5] Computer Organization and Design : the hardware/software interface by david a patterson and john l hennessy

[2]  Doing Data Science, Straight Talk from the Frontline, Cathy O'Neil, Rachel Schutt, O’Reilly, 1st edition, 2013

[3]  Mining of Massive Datasets, Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman, Cambridge University Press, 2nd edition, 2014

[4] Computer Systems: Digital Design, Fundamentals of Computer Architecture and Assembly Language,  ATa Elahi , Springer 2019

[5] Floyd, Thomas L: Digital Computer Fundamentals, 11th Edition, Pearson International, 2015. 

[6] Malvino, Paul Albert, Leach, Donald P,GautamSaha: Digital Principles And Applications, TMH ,8th Edition, 2015.

[7] Bartee, Thomas C: Digital Computer Fundamentals, 6 Edition,TMH, 2010. 

References

https://www.ntnu.edu/studies/courses/TFE4105/2014#tab=omEmnet

ESE-50%

This course covers the programming paradigms associated with Python. It provides a comprehensive understanding of Python data types, functions and modules with a focus on modular programming.

Strings, Lists: Accessing elements, Basic List operations, Built-in methods.

Tuples: Working with elements, Basic Tuple operation, Tuple methods and Type of Tuples.

Lab 10 hrs

1. Implement Basic data types, operators and I/O

2. Implement Control structures and loops

3. Implement Strings and Lists 

4. Implement Tuples

Theory 5hrs

Introduction, Python Fundamentals, Features of Python, Components of a Python Program, Understanding the Interpreter.

Python basics: Identifiers, Basic Types, Operators, Precedence and Associativity, Decision Control Structures, Looping Structures, Console Input, Output.

Strings, Lists: Accessing elements, Basic List operations, Built-in methods.

Tuples: Working with elements, Basic Tuple operation, Tuple methods and Type of Tuples.

Lab 10 hrs

1. Implement Basic data types, operators and I/O

2. Implement Control structures and loops

3. Implement Strings and Lists 

4. Implement Tuples

Theory 5hrs

Introduction, Python Fundamentals, Features of Python, Components of a Python Program, Understanding the Interpreter.

Python basics: Identifiers, Basic Types, Operators, Precedence and Associativity, Decision Control Structures, Looping Structures, Console Input, Output.

Comprehensions: List Comprehensions, Set Comprehension, Dictionary Comprehension.

Functions: Defining a function, Types of arguments, unpacking arguments. Recursive functions.

Main module, built-in, custom modules, importing a module.

Theory 5 hrs

Sets: Definition, Set Elements, Built-in methods, basic set operations, Mathematical Set operation, Variety of Sets.

Dictionaries: Defining a dictionary, accessing elements, basic operations, methods.

Lab 10 hrs

5. Implement Sets and Dictionaries

6. Implement List, Set and Dictionary Comprehensions

7. Implement function

8. Implement Recursive function

Comprehensions: List Comprehensions, Set Comprehension, Dictionary Comprehension.

Functions: Defining a function, Types of arguments, unpacking arguments. Recursive functions.

Main module, built-in, custom modules, importing a module.

Theory 5 hrs

Sets: Definition, Set Elements, Built-in methods, basic set operations, Mathematical Set operation, Variety of Sets.

Dictionaries: Defining a dictionary, accessing elements, basic operations, methods.

Lab 10 hrs

5. Implement Sets and Dictionaries

6. Implement List, Set and Dictionary Comprehensions

7. Implement function

8. Implement Recursive function

Lab 10 hrs

9. Implement the modules of NumPy 

10. Implement the modules of Pandas

Theory 5 hrs

Introduction to NumPy, Aggregations Computation on Arrays, Comparisons, Sorting Arrays.

Introduction to Pandas: Data indexing and Selection, Operating on Data, Handling Missing Data.

Lab 10 hrs

9. Implement the modules of NumPy 

10. Implement the modules of Pandas

Theory 5 hrs

Introduction to NumPy, Aggregations Computation on Arrays, Comparisons, Sorting Arrays.

Introduction to Pandas: Data indexing and Selection, Operating on Data, Handling Missing Data.

[2] Yashavant Kanetkar, Aditya Kanetkar, Let Us Python, BPB Publications, 4th Edition 2022.

[2] Zhang Y, An Introduction to Python and Computer Programming, Springer Publications, 2015.

• To expose learners to a variety of texts to interact with
• To help learners classify ideologies and be able to express the same
• To expose learners to visual texts and its reading formulas
• To help learners develop a taste to appreciate works of literature through the organization of language
• To help develop critical thinking
• To help learners appreciate literature and the language nuances that enhances its literary values

• To help learners understand the relationship between the world around them and the text/literature
• To help learners negotiate with content and infer meaning contextually
• To help learners understand logical sequencing of content and process information

·         To help improve their communication skills for larger academic purposes and vocational purposes

·         To enable learners to learn the contextual use of words and the generic meaning

·         To enable learners to listen to audio content and infer contextual meaning

·         To enable learners to be able to speak for various purposes and occasions using context specific language and expressions

·         To enable learners to develop the ability to write for various purposes using suitable and precise language.

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

• 1. The Happy Prince- Oscar Wilde
• 2. Sonnet 18- William Shakespeare

Common errors- subject-verb agreement, punctuation, tense errors  Just a minute talk, cubing

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Sentence fragments, dangling modifiers, faulty parallelism,

 Why We Travel-Pico Iyer 

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking

Thinking Like a Mountain  By Aldo Leopold

Note taking