From bad20577059af558354ba3cc36fd1e5ea8e495bb Mon Sep 17 00:00:00 2001 From: kuzvera <116424151+kuzvera@users.noreply.github.com> Date: Fri, 17 May 2024 10:52:28 +0300 Subject: [PATCH] add --- "blog/ABIT/122\321\210\321\226/data.jpg" | Bin 0 -> 187472 bytes "blog/ABIT/122\321\210\321\226/index.mdx" | 175 +++++++-------------- "blog/ABIT/122\321\210\321\226/table.png" | Bin 0 -> 212403 bytes "blog/ABIT/122\321\210\321\226/table1.jpg" | Bin 177787 -> 0 bytes "blog/ABIT/122\321\210\321\226/table2.jpg" | Bin 176074 -> 0 bytes blog/STUDENT COUNCIL/sc_vidbir.mdx | 1 + 6 files changed, 56 insertions(+), 120 deletions(-) create mode 100644 "blog/ABIT/122\321\210\321\226/data.jpg" create mode 100644 "blog/ABIT/122\321\210\321\226/table.png" delete mode 100644 "blog/ABIT/122\321\210\321\226/table1.jpg" delete mode 100644 "blog/ABIT/122\321\210\321\226/table2.jpg" diff --git "a/blog/ABIT/122\321\210\321\226/data.jpg" "b/blog/ABIT/122\321\210\321\226/data.jpg" new file mode 100644 index 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zJ;3&%-ai85fbhIihXu6SmhCP+LQjwpeeEiboT2L zxYOi2q-tH=Q3snl1yS~rKpn2}e+px_cn{jsOeYU1US zite9LnSXVN{?5YPwfeTK53*?o_BU@Ech_#${{YCB{{TN`u{(Wf=5OAW&-S ikb5M`U2*&xbJ}YY*gL15Y1{Osk>o$c$v^)7KmXas9iKY@ literal 0 HcmV?d00001 diff --git "a/blog/ABIT/122\321\210\321\226/index.mdx" "b/blog/ABIT/122\321\210\321\226/index.mdx" index 8db9e366b..7afa0ab1e 100644 --- "a/blog/ABIT/122\321\210\321\226/index.mdx" +++ "b/blog/ABIT/122\321\210\321\226/index.mdx" @@ -3,185 +3,120 @@ slug: AI title: 122 Штучний Інтелект authors: [alina, vera] tags: [IASA SC, ІПСА, ABIT, ВСТУП] -date: 2023-05-19T18:00 +date: 2024-05-17T16:00 --- ![Photo](./154.png) -«Системи і методи штучного інтелекту». Звучить досить круто, солідно й актуально, але не дайте себе обманути. Якщо попросити студента ШІ розказати, що саме вивчається на цій спеціальності, ви почуєте щось на кшталт «На ММСА — математика, на СП — програмування, а ШІ — Франкенштейн, зліплений із попередньо названих катедр». Якась штучна інтелектуальність у цьому є, проте все ще далеко від Вілла Сміта і Сонні. +### База -![Photo](./gb.jpg) +«Системи і методи штучного інтелекту». Звучить досить круто, солідно й актуально, але не дай себе обманути. Якщо попросити студента ШІ розказати, що саме вивчається на цій спеціальності, ти почуєш щось на кшталт «на ММСА — математика, на СП — програмування, а ШІ — монстр Франкенштейна, зліплений із цих двох катедр». Якась штучна інтелектуальність у цьому є, проте все ще далеко від Вілла Сміта й Сонні. -*Подколзін Г. Б. (викладач) про назву катедри* -### Questions & answers: +### Дисципліни -#### Наскільки актуальні знання дає спеціальність? +Математичний аналіз, лінійна алгебра та аналітична геометрія, дискретна математика, теорія ймовірностей — це лише вершина освітнього айсберга. Якщо порівнювати математичну підготовку двох освітніх програм, які надає 122 спеціальність в ІПСА, то катедра штучного інтелекту пропонує більш глибоке вивчення перелічених дисциплін. Ці предмети, як і математика в цілому, є основою основ у розробці та важливими для схемотехніки, машинного навчання, аналізу даних тощо. -*Математичні дисципліни.* Якщо порівнювати математичну підготовку двох освітніх програм, які пропонує 122 спеціальність в ІПСА, то катедра «Штучного інтелекту» практикує більш поглиблене вивчення цих дисциплін. Математичний аналіз, лінійна алгебра та геометрія, дискретна математика, теорія ймовірностей і це лише вершина айсбергу. Усі вони створюють базу для подальшого занурення в такі предмети як схемотехніка, машинне навчання, аналіз даних і багато інших. +Як і на інших катедрах, на першому курсі ти вивчатимеш мови С/С++, зможеш пізнати базові принципи алгоритмів та структур даних, аби далі мати змогу заглибитися в будь-які сфери програмування завдяки вибірковим предметам. Зазвичай саме IT-дисципліни студенти вважають найцікавішими, адже викладачі намагаються постійно оновлювати й актуалізовувати свої матеріали. -*Програмування.* Як і на інших катедрах, на перших двох курсах ви зануритеся детально у вивчення мов С та С++. Зможете пізнати базові принципи алгоритмів та структур даних, аби далі мати змогу поглибитися в будь-якій сфері програмування за рахунок вибіркових предметів. Зазвичай, саме ці дисципліни студенти вважають найцікавішими, адже викладачі намагаються постійно оновлювати та актуалізовувати свій матеріал. +Перелік усіх предметів наведено нижче. -![Photo](./table1.jpg) -![Photo](./table2.jpg) -[ЗУ](https://osvita.kpi.ua/sites/default/files/downloads/ZU-Katalog-2022.pdf), а також [Ф](https://drive.google.com/file/d/1aUMkrdUWTm_gjHCHnFbLR7EG3E3zE3o2/view?usp=sharing) каталоги* +![Photo](./table.png) -P.S. Список вибіркових предметів може змінюватися. +Тут ти можеш ознайомитися із [ЗУ-каталогом](https://osvita.kpi.ua/sites/default/files/downloads/zu-katalog-2024.pdf), а також [Ф-каталогом](https://ai.kpi.ua/ua/bachelors/28343_fkat_122kn_oppb_smai.pdf). -#### Ким ти станеш закінчивши спеціальність? +**P.S.** Список вибіркових дисциплін може змінюватися. -Основні сфери працевлаштування випускників... Ем, вони відсутні (життя жорстоке). +### Якщо не McDonalds, то що? -*Автор попереднього речення вирішив додати трохи комедіантства у статтю, не звертай уваги.* +#### Data Scientist -Ось перелік **найпопулярніших професій:** +Навчаючись на спеціальності «Комп’ютерні науки», не дивно стати науковцем. Багато предметів на катедрі ШІ спрямовані саме до такого світлого майбутнього, як Data Science. Фахівці в цій сфері займаються аналізом великого обсягу даних і застосовують різні методи для виділення цінної інформації з нього. Цю професію можна описати наступною формулою: -Machine learning engineer — фахівець із машинного навчання, що займається створенням штучних нейронних мереж. +Data Science = «Системи й методи баз даних» (для збору та очищення даних) + «Інтелектуальний аналіз даних» (для дослідницького аналізу) + «Системи та методи штучного інтелекту» (для моделювання та прогнозування) + «Візуалізація даних» (як не дивно, для візуалізації даних). -Computer Vision Engineer — фахівець у галузі комп'ютерного зору, який розробляє алгоритми для аналізу зображень та відео. +Але для кожної з цих дисциплін варто пройти шлях воїна — перший курс, без якого розуміння цієї галузі неможливе. -ERP System Support Specialist — фахівець із підтримки та адміністрування систем ERP, який забезпечує їхнє ефективне використання в організації. +> _«Основною роботою є Data Scientist. Працюю здебільшого з маркетинговими даними, дашбордами, автоматизацією, дослідженнями ефективності реклами, впровадження machine learning у предиктивний аналіз. ІПСА дав усю базу й фундамент для опанування машинного навчання. Без математики продовжувати було б досить важко, бо основні концепції — що в аналітиці, що в ML — будуються саме на ній. На самостійному вивченні було заглиблення в теми, які цікаві та необхідні: штучний інтелект, продуктова аналітика, софт для візуалізації даних»._ -Data scientist — спеціаліст, що вивчає проблеми аналізу, обробки та представлення різноманітних даних у цифровій формі. +> _«В обов'язки входять збір даних, EDA (exploratory data analysis), preprocessing, написання й презентації моделей і обгорток, а також їхнє введення та перенавчання»._ -Big data engineer — спеціаліст, що працює з великими наборами даних із застосуванням спеціальних методів обробки та аналізу. +#### Data Analyst -Front-End Developer — фахівець із розробки вебінтерфейсів користувача, який створює зручні та ефективні інтерфейси для вебсайтів та додатків. +Відійдемо трішки від теми штучного інтелекту, але не від баз даних. Data Analyst також збирає та формує великі дані в зручний для роботи формат, також застосовує статистичні та візуальні методи для аналізу, але ключовими аспектами його обовʼязків вважається дослідження поточної діяльності компанії, виявлення недоліків та пропозиції щодо їхнього усунення. -Це далеко не весь перелік, адже кожен знаходить нішу відповідно до вподобань ~~своїх батьків~~. +> _«Тривіальний аналітик даних розрахує для вас багато метрик і намалює кольорові діаграми. Хороший аналітик даних переконається, що ви розумієте ці метрики та діаграми. Відмінний аналітик даних розповість вам про бізнес-проблеми, які він бачить за цими метриками й діаграмами, і також запропонує їхнє розв’язання»._ -### Student feedback +#### Data Engineer -![Photo](./aia1.png) - -#### Кому порадиш цю спеціальність? - -_«Людям, яким цікаво не тільки розробляти програмне забезпечення, але й проектувати його. Людям, яким цікаво проектувати і створювати складні системи, зокрема системи прийняття рішень. Людям, яким цікаво як влаштовані криптовалюти та як з ними працювати. Людям, яким цікавий штучний інтелект та його підзадачі, оптимізації процесів, аналіз даних та створення прогнозів на майбутнє за допомогою математики та програмування. Людям, хто може сприймати сам процес програмування як творчість.»_ - -Студенти часто акцентують увагу на активному ком’юніті та складності деяких математичних дисциплін. - -#### Як ІПСА вплинув на пошук / вибір першої роботи? - -_«Вивчив базу з першого курсу, цього було достатньо для першого стажування, надалі вчив тільки більше, як в університеті, так і на роботі.»_ - -_«Завдяки ІПСА я усвідомив, що університет не дасть тобі абсолютно ніяких корисних знань і почав вчити самостійно необхідні для роботи речі. Так і знайшов роботу.»_ - -Опитані також згадують корисність інфосфери ІПСА та вплив деяких окремих предметів. Більша частина респондентів впливу на пошук роботи не помічала. - -#### Ким працюють ІПСАшники? -![Photo](./aia2.png) - -#### Data Scientist (Data / Big Data / ML / Computer Vision Engineer, Data Scientist) - -**Докладніше про посаду** - -#### _Machine Learning Engineer_ - -_«Займаються прогнозуванням продажів товарів. Знання з пройдених математичних дисциплін застосовуються для розуміння роботи моделей, простих та складних особливо. Без матана ніяк.»_ - -#### _Computer Vision Engineer_ - -_«Research and Development (RnD). Математична основа знадобилась для прочитання наукових статей, проектування моделей, їх навчання та оцінки. Математика та відповідне програмування буквально всюди і кожен день.»_ - -#### Front-End Developer - -**Докладніше про посаду** - -#### _Стек: TypeScript, React.js_ +Головне завдання дата інженера — створити максимально зрозумілу «архітектуру інфраструктури даних» з урахуванням надійності та продуктивності роботи з ними. -_«Окрім притаманному джунам перефарбовуванню кнопок, отримання даних з бека та створення адаптивного оптимізованого інтерфейсу для користувачів.»_ +> _«Data Engineer відповідає за проєктування, будівництво, встановлення, тестування та підтримку великомасштабних систем управління даними. Вони зосереджені на створенні інфраструктури для генерації, зберігання й обробки інформації»._ -#### ERP System Support Specialist +Аби візуально схожі назви не збивали з пантелику, пропонуємо ознайомитися з діаграмою, що наведе необхідні скіли для Data Analyst, Data Scientist і Data Engineer. -**Докладніше про посаду** +![Photo](./data.jpg) -_«Підтримка та зміна налаштувань системи CRM, створення та надання доступу користувачам, відповіді на запити та допомога в роботі з системою, тестування та поліпшення функціоналу.»_ +#### ML Engineer -#### Дисклеймер +Посада ML Engineer передбачає розробку та налаштування моделей машинного навчання, створення алгоритмів для аналізу даних та побудови прогностичних моделей, а також впровадження їх у продуктивні системи. Спеціалісти цієї галузі відповідають за оцінку та вдосконалення якості й ефективності розв’язання поставлених задач. -Рецензії написані магістрами та бакалаврами 122 спеціальності катедри ШІ. У відгуках збережена автентична лексика, тому вони можуть сприйматися суб'єктивними та не зовсім делікатними. Читайте на свій страх і ризик... +> _«Запроваджую AI в customer care департамент (тобто в роботу з клієнтами)»._ -#### Нотатки новачків +> _«Займаюся прогнозуванням продажів товарів. Знання з пройдених математичних дисциплін застосовуються для розуміння роботи моделей, простих та складних особливо. Без матана (прим. ред. Математичного аналізу) ніяк»._ -**Чим із гарної сторони запам'яталося навчання?** - -_«Круто викладається математика, все зрозуміло. Рекомендую завжди питати викладача, якщо щось не зрозуміло. Та також рекомендую розуміти доведення кожної теореми, особливо її сенс та як її використовують на практиці, оскільки, на жаль, сенс та навіщо це треба часто пропускаються, але завжди можна запитати це у викладача. Впринципі далі будуть викладатися такі предмети, де вже буде зрозуміло навіщо вчилася ця математика та як її використовувати на практиці. І це дуже круто, хоча для мене було б легше це пояснювати паралельно викладанню (теорія ймовірності та частина мат. логіки винятки).»_ - -_«Цікавим студентством; деякими викладачами, які продовжують якісно виконувати свою роботу незважаючи на свої проблеми, вік і ставлення практики.»_ - -_«На перших двох курсах багато цікавих математичних дисциплін. Також було декілька дисциплін з програмування, які викладалися на дуже високому рівні.»_ - -_«Дружнім колективом, як одногрупники, так і люди з інших груп та курсів — всі просто нереально круті!»_ - -**Чим із поганої сторони запам'яталося навчання?** - -_«Є викладачі, які із року в рік не дають студентам нормально жити, з постійно новими високими (надто високими) вимогами та необ'єктивним оцінюванням.»_ - -_«Є предмети, в яких потрібно розбиратися виключно самому, оскільки отриманої інфи замало для вирішення поставлених задач.»_ - -_«Дистанційне навчання, деякі дисципліни існують «для галочки».»_ - -_«Як на мене, було забагато гуманітарних дисциплін(але так на всіх факультетах в КПІ). Також були не дуже цікаві предмети (або не дуже адекватні викладачі).»_ - -**Які твої загальні враження від навчання?** - -_«По 10-бальній шкалі я б поставив 6 чи 7. Я знав, що як і в кожному іншому універі будуть неприємні викладачі, тому очікування не були завищеними. Навіть значною мірою я отримав те, що очікував.»_ - -_«Відчувається важкість через надзвичайну навантаженість предметами, але в ТОП-1 Університеті України так і має бути. Мені дуже подобається колектив групи, в якому ти вільно себе відчуваєш і можеш завжди запитати про допомогу, чудові івенти КПІ, які варто відвідувати кожному.»_ - -_«Цікаво, але місцями досить складно, раджу ретельно подумати перед тим, як вступати, перш за все, впевнитися, що у вас міцна нервова система.»_ - -**Яким ти бачиш ідеального випускника спеціальності?** - -_«Кращий дата саєнтист у місті.»_ +![Photo](./aia1.png) -_«Всесторонній геній, що вміє програмувати, знає фізику, вміє вирішувати логічні задачі.»_ +![Photo](./aia2.png) -_«З міцними нервами та стабільною психікою.»_ +### Думки чемпіонів -_«Соціально активна людина з розумінням багатьох сфер ІТ і баченням свого майбутнього розвитку.»_ +_«Я вступала на цю спеціальність, знаючи про себе точно два факти: люблю програмування, люблю математику. Думала писати сайтики або круті додатки, що людям принесуть користь, а мені, звичайно, гроші. Але згодом зрозуміла, скільки різних напрямів відкриває таке глибинне вивчення математики та програмування, які не так помітні, коли ти знаходишся ще за бортом IT-комʼюніті. Ця освітня програма є дуже обширною. Рано чи пізно починаєш забивати на одні предмети й приділяти більшу увагу вже необхідним для карʼєрного шляху — і це нормально. Як і будь-де, є викладачі, віддані своїй дисципліні всією душею, а є ті, кому не так подобається їхнє місце роботи, що не є чимось незвичним для державних університетів. Тому самонавчанням також рано чи пізно доведеться зайнятися. Підсумовуючи все це, можна сказати, що навчання на катедрі ШІ зможе принести базові знання з безлічі предметів та відкриє в тобі нові інтереси, але все залежить тільки від власного бажання»._ -#### Замітки динозаврів +_«Як на мене, було забагато гуманітарних дисциплін (але так на всіх факультетах в КПІ). Також були не дуже цікаві предмети (або не дуже адекватні викладачі)»._ -#### _ІПСА — іноді потрібна склянка алкоголю._ +_«По десятибальній шкалі я поставив би 6 чи 7. Я знав, що, як і в кожному іншому універі, будуть неприємні викладачі, тому сподівання не були завищеними. Навіть значною мірою отримав те, що очікував»._ -_«Почнемо з того, що гарне місце для навчання має навчити вас навчатися, шукати інформацію, збільшувати кругозір, давати нові можливості. Університет — не виключення. Це місце, в якому дитина перетворюється на дорослого, отримує досвід та вчиться знаходитися в соціумі. Дуже важливі роки життя, які закладають вектор подальшого розвитку._ +_«Почнемо з того, що хороший освітній заклад має навчити тебе вчитися, шукати інформацію, збільшувати кругозір, а також надати нові можливості. Університет — не виняток. Це місце, в якому дитина перетворюється на дорослого, набуває досвіду та звикає до соціуму. Дуже важливі роки життя, які закладають вектор подальшого розвитку._ _Є декілька об'єктивних метрик, які показують «престиж» вишу:_ -_• Кількість працевлаштованих за спеціальністю або суміжною спеціальністю (для айті — не розробник, а бізнес аналітик, проджект менеджер та інші)_ ++ _Кількість працевлаштованих за спеціальністю або суміжною з нею (наприклад, у сфері IT це як розробник, так і бізнес-аналітик, проджект менеджер тощо)._ -_• Середній бал ЗНО вступників._ ++ _Середній бал ЗНО/НМТ вступників._ -_• Актуальність матеріалів та їх достатність._ ++ _Актуальність матеріалів та їхня достатність._ _Також є суб'єктивні метрики:_ -_• Люди — якість студентського самоврядування, івентів, ком'юніті в цілому._ ++ _Люди: рівень студентського самоврядування, івентів, ком'юніті в цілому._ -_• Якість викладання._ ++ _Якість викладання._ -_• Кількість відрахованих._ ++ _Кількість відрахованих._ -_Важливий дисклеймер: спочатку ковід, а потім війна дуже сильно вплинули на навчальні процеси. Скласти будь-яку дисципліну стало простіше, легше списати. Менша залученість і увага як студентів, так і викладачів. Менша взаємодія у реальному житті._ +_Важливий дисклеймер: спочатку ковід, а потім війна дуже сильно вплинули на навчальні процеси. Закрити будь-яку дисципліну стало простіше, легше списати. Менша залученість і увага, як студентів, так і викладачів. Майже немає взаємодії в реальному житті._ -_Короче, дистанційка — круто для того, щоб працювати і навчатись одночасно (бо можна не навчатись). Але абсолютно погано для якості навчального процесу. Тому наступні кілька років отримаємо фігових спеціалістів, які провчилися на дистанційці._ +_Коротше, дистанційка — круто для того, щоб працювати й навчатись одночасно, але абсолютне зло для якості навчального процесу._ _Пройдемося по кожному пункту щодо ІПСА:_ -_1. Працевлаштованих дуже великий відсоток, ще й на нормальні роботи (якщо тільки галери можна називати нормальною роботою... Та таке життя сучасних айтівців). Без дистанційки починала працювати більшість на 4-му курсі, або навіть після закінчення. З дистанційкою починають масово працювати на роки півтора раніше. Можете глянути графіки студради, вони збирали статистику._ +_1. Дуже великий відсоток працевлаштованих, ще й на нормальні роботи (якщо тільки галери можна так називати... Та таке життя сучасних айтішників). Без дистанційки більшість починала працювати на 4 курсі або навіть після закінчення. У наші часи масово влаштовуються на півтора року раніше. Можете глянути графіки Студради, вони збирали статистику (прим.ред. Дивись вище)._ + +_2. Середній бал вступників високий -> розумніші студенти -> інший рівень конкуренції, глибше вивчення матеріалу, взаємодопомога -> цікавіше навчатися та спілкуватися. З цих людей обирати друзів, вони будуть колегами на роботі, тому краще, щоб це були «розумняшки», медалісти, ліцеїсти з усієї України. Найкращі. Бо саме такі люди обійматимуть високі посади, зароблятимуть багато грошей та змінюватимуть країну, сферу праці._ -_2. Середній бал вступників високий -> розумніші люди з тобою навчаються -> вище рівень конкуренції, глибше вивчення матеріалу, взаємодопомога -> цікавіше навчатись, цікавіше спілкуватись. З цих людей вам обирати друзів, ці люди будуть вашими колегами на роботі. Це ваші «собутильники» (вибач, що відкрив очі на правду — люди п'ють алкогольні напої). Це філософи за своєю сутністю. Тому краще, щоб це були розумняшки, медалісти, ліцеїсти з усієї України. Кращі. Бо саме такі люди будуть обіймати високі посади, заробляти багато грошей та змінювати країну, сферу праці._ +_3. Актуальність і достатність матеріалів. Математичні дисципліни не можуть бути не актуальними, а їх не те щоб недостатньо. Їх забагато. Математика — це як тренажерка, але для мізків. Викладачі топ, муштрують, задають непристойно багато домашки._ -_3. Актуальність і достатність матеріалів. Математичні дисципліни не можуть бути не актуальними, а їх не те що недостатньо. Їх забагато Математика топ — це як тренажерка, але для мізків. Викладачі топ, муштрують, задають непристойно багато домашки._ +_Прога нормальна для штучного інтелекту, комп'ютерного зору, нейронок, моделей і т.д. Але починається лише з третього курсу щось більш-менш профільоване. Інших напрямів: фронтенду, бекенду, геймдеву, девопса — дуже мало й дуже поверхньо. Хоча, а що ви очікували від спеціалізації «Методи і системи штучного інтелекту»? Пайтон стане тобі другою мовою після української. Але можливо провчитися 6 років і не написати жодної лаби самостійно. Перевірено особисто. Також існує відсотків 30-35 взагалі непотрібних, нудних, застарілих речей. Без них ніяк. Так усюди._ -_Прога нормальна для штучного інтелекту, комп'ютерного зору, нейронок, моделей і т.д. Але починається лише з третього курсу щось більш-менш профільоване. Для інших напрямів типу фронтенду, бекенду, геймдеву, девопса — дуже мало й дуже поверхньо. Хоча, а що ви очікували від спеціалізації «Штучний Інтелект»? Пайтон стане вам другою мовою після української. Але можливо провчитися 6 років і не написати жодної лаби на пайтоні самостійно. Перевірено особисто._ +_4. Люди. Дивись пункт про середній бал ЗНО. Та розумій, що читаєш цей відгук, бо Студрада париться і робить якісний контент. Без перебільшень, найкраще студентське самоврядування в КПІ (і в Україні, певно) на рівні факультетів. У добуремні часи кількість офлайн івентів сягала близько 25 за рік. Тому ІПСАшники не лише навчаються, а й розважаються. І це дуже круто._ -_Також існує відсотків 30-35 взагалі непотрібних, нудних, застарілих речей. Без них ніяк. Так усюди._ +_5. Якість викладання. Нефахівців одиниці. Нецікавих відсотків 30. Але кожен сам обирає, куди йому рухатись і які предмети вчити більш прискіпливо, ґрунтовно. Є викладачі, для яких універ — це, скоріше, хобі, а самі вони працюють в компаніях або керують ними. Цим можна користуватися, щоб отримувати більш актуальні знання та спробувати потрапити на роботу._ -_4. Люди. Дивись пункт про середній бал ЗНО. Та розумій, що читаєш цей відгук, бо СтудРада париться і робить якісний контент. Без перебільшень, найкраща студрада в КПІ (і в Україні, певно) на рівні факультетів. В добуремні часи кількість офлайн івентів сягала близько 25 за рік. Тому іпсашники не лише навчаються, а й розважаються. І це дуже круто._ +_6. Кількість відрахованих. Зараз не знаю, але в мої часи з 32 людей в групі залишалось 18. Навчатись тут складно, матеріалу дуже багато, домашок теж, не всі предмети цікаві та зрозумілі. Але це добре, оскільки залишаються найсильніші (та ті, хто зрозумів, що ІПСА не для нього, і це нормально)»._ -_5. Якість викладання. Нефахівців одиниці. Нецікавих відсотків 30. Але кожен сам обирає, куди йому рухатись і які предмети вчити більш прискіпливо, ґрунтовно. Є викладачі, для яких універ — це, скоріше, хобі, а самі вони працюють в компаніях або керують ними. Цим можна користуватися, щоб отримувати більш актуальні знання та спробувати потрапити на роботу.__6. Кількість відрахованих. Зараз не знаю, але в мої часи з 32 людей в групі залишалось 18. Навчатись тут складно, матеріалу дуже багато, домашок багато, не всі предмети цікаві та зрозумілі. Але це добре, оскільки залишаються найсильніші (та ті, хто зрозумів, що ІПСА не для нього, і це нормально).»_ +Наступний [відгук](https://telegra.ph/Toj-samij-v%D1%96dguk-05-16) — спадщина минулих років, без якої ця стаття не буде досконалою. -Наступний [відгук](https://www.hashtap.com/redirect?url=https%3A%2F%2Ftelegra.ph%2FKatedra-to-hark%D1%96vskij-pravopis-%D1%96di-nahuj-pan-perev%D1%96ryayuchij-07-02&strict=0&redirect_token=0070635a98a5529993a373856c99eb0d5f835cb7d26f2786f902e5ca085d57da41d35b558a7ebcdf30c925a789896fb99fe11a60cd3c4bbf6fbfe7fbb8b817dc) не пройшов цензуру, тому ви матимете можливість прочитати його окремо. Але обережно, це може бути небезпечно для вашого здоров'я. +### Висновок +Будемо максимально відвертими: якщо твоя душа лежить до дизайну чи розробки, де математика не так потрібна, як програмування чи креативність, катедра ШІ не найкращий вибір для тебе. 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COUNCIL/sc_vidbir.mdx +++ b/blog/STUDENT COUNCIL/sc_vidbir.mdx @@ -4,6 +4,7 @@ title: Легенди давнього ІПСА authors: [lisa] tags: [IASA SC, ІПСА] keywords: [ІПСА, СтудРада, IASA, Student Council] +date: 2024-02-17T16:00 --- Спочатку існував тільки вічний, безмежний, темний Хаос. З нього все й виникло: День і Ніч, Небо і Земля. Потім з'явилися їхні діти — титани. Один із них, володар часу Кронос, відібрав владу у свого батька Урана, а потім став жертвою власного сина, Зевса, потрапивши в таку ж саму пастку.